__init__.py 270 KB
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# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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# When adding a new object to this init, remember to add it twice: once inside the `_import_structure` dictionary and
# once inside the `if TYPE_CHECKING` branch. The `TYPE_CHECKING` should have import statements as usual, but they are
# only there for type checking. The `_import_structure` is a dictionary submodule to list of object names, and is used
# to defer the actual importing for when the objects are requested. This way `import transformers` provides the names
# in the namespace without actually importing anything (and especially none of the backends).

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__version__ = "4.31.0.dev0"
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from typing import TYPE_CHECKING
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# Check the dependencies satisfy the minimal versions required.
from . import dependency_versions_check
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from .utils import (
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    OptionalDependencyNotAvailable,
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    _LazyModule,
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    is_bitsandbytes_available,
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    is_flax_available,
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    is_keras_nlp_available,
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    is_sentencepiece_available,
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    is_speech_available,
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    is_tensorflow_text_available,
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    is_tf_available,
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    is_timm_available,
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    is_tokenizers_available,
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    is_torch_available,
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    is_torchvision_available,
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    is_vision_available,
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    logging,
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)
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logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
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# Base objects, independent of any specific backend
_import_structure = {
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    "audio_utils": [],
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    "benchmark": [],
    "commands": [],
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    "configuration_utils": ["PretrainedConfig"],
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    "convert_graph_to_onnx": [],
    "convert_slow_tokenizers_checkpoints_to_fast": [],
    "convert_tf_hub_seq_to_seq_bert_to_pytorch": [],
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    "data": [
        "DataProcessor",
        "InputExample",
        "InputFeatures",
        "SingleSentenceClassificationProcessor",
        "SquadExample",
        "SquadFeatures",
        "SquadV1Processor",
        "SquadV2Processor",
        "glue_compute_metrics",
        "glue_convert_examples_to_features",
        "glue_output_modes",
        "glue_processors",
        "glue_tasks_num_labels",
        "squad_convert_examples_to_features",
        "xnli_compute_metrics",
        "xnli_output_modes",
        "xnli_processors",
        "xnli_tasks_num_labels",
    ],
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    "data.data_collator": [
        "DataCollator",
        "DataCollatorForLanguageModeling",
        "DataCollatorForPermutationLanguageModeling",
        "DataCollatorForSeq2Seq",
        "DataCollatorForSOP",
        "DataCollatorForTokenClassification",
        "DataCollatorForWholeWordMask",
        "DataCollatorWithPadding",
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        "DefaultDataCollator",
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        "default_data_collator",
    ],
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    "data.metrics": [],
    "data.processors": [],
    "debug_utils": [],
    "dependency_versions_check": [],
    "dependency_versions_table": [],
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    "dynamic_module_utils": [],
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    "feature_extraction_sequence_utils": ["SequenceFeatureExtractor"],
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    "feature_extraction_utils": ["BatchFeature", "FeatureExtractionMixin"],
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    "file_utils": [],
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    "generation": ["GenerationConfig", "TextIteratorStreamer", "TextStreamer"],
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    "hf_argparser": ["HfArgumentParser"],
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    "hyperparameter_search": [],
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    "image_transforms": [],
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    "integrations": [
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        "is_clearml_available",
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        "is_comet_available",
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        "is_neptune_available",
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        "is_optuna_available",
        "is_ray_available",
        "is_ray_tune_available",
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        "is_sigopt_available",
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        "is_tensorboard_available",
        "is_wandb_available",
    ],
    "modelcard": ["ModelCard"],
    "modeling_tf_pytorch_utils": [
        "convert_tf_weight_name_to_pt_weight_name",
        "load_pytorch_checkpoint_in_tf2_model",
        "load_pytorch_model_in_tf2_model",
        "load_pytorch_weights_in_tf2_model",
        "load_tf2_checkpoint_in_pytorch_model",
        "load_tf2_model_in_pytorch_model",
        "load_tf2_weights_in_pytorch_model",
    ],
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    "models": [],
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    # Models
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    "models.albert": ["ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "AlbertConfig"],
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    "models.align": [
        "ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AlignConfig",
        "AlignProcessor",
        "AlignTextConfig",
        "AlignVisionConfig",
    ],
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    "models.altclip": [
        "ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AltCLIPConfig",
        "AltCLIPProcessor",
        "AltCLIPTextConfig",
        "AltCLIPVisionConfig",
    ],
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    "models.audio_spectrogram_transformer": [
        "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ASTConfig",
    ],
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    "models.auto": [
        "ALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CONFIG_MAPPING",
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        "FEATURE_EXTRACTOR_MAPPING",
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        "IMAGE_PROCESSOR_MAPPING",
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        "MODEL_NAMES_MAPPING",
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        "PROCESSOR_MAPPING",
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        "TOKENIZER_MAPPING",
        "AutoConfig",
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        "AutoFeatureExtractor",
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        "AutoImageProcessor",
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        "AutoProcessor",
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        "AutoTokenizer",
    ],
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    "models.autoformer": [
        "AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AutoformerConfig",
    ],
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    "models.bart": ["BartConfig", "BartTokenizer"],
    "models.barthez": [],
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    "models.bartpho": [],
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    "models.beit": ["BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BeitConfig"],
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    "models.bert": [
        "BERT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BasicTokenizer",
        "BertConfig",
        "BertTokenizer",
        "WordpieceTokenizer",
    ],
    "models.bert_generation": ["BertGenerationConfig"],
    "models.bert_japanese": ["BertJapaneseTokenizer", "CharacterTokenizer", "MecabTokenizer"],
    "models.bertweet": ["BertweetTokenizer"],
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    "models.big_bird": ["BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP", "BigBirdConfig"],
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    "models.bigbird_pegasus": [
        "BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BigBirdPegasusConfig",
    ],
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    "models.biogpt": ["BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BioGptConfig", "BioGptTokenizer"],
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    "models.bit": ["BIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BitConfig"],
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    "models.blenderbot": ["BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BlenderbotConfig", "BlenderbotTokenizer"],
    "models.blenderbot_small": [
        "BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotSmallConfig",
        "BlenderbotSmallTokenizer",
    ],
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    "models.blip": [
        "BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlipConfig",
        "BlipProcessor",
        "BlipTextConfig",
        "BlipVisionConfig",
    ],
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    "models.blip_2": [
        "BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Blip2Config",
        "Blip2Processor",
        "Blip2QFormerConfig",
        "Blip2VisionConfig",
    ],
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    "models.bloom": ["BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP", "BloomConfig"],
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    "models.bort": [],
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    "models.bridgetower": [
        "BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BridgeTowerConfig",
        "BridgeTowerProcessor",
        "BridgeTowerTextConfig",
        "BridgeTowerVisionConfig",
    ],
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    "models.byt5": ["ByT5Tokenizer"],
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    "models.camembert": ["CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CamembertConfig"],
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    "models.canine": ["CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP", "CanineConfig", "CanineTokenizer"],
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    "models.chinese_clip": [
        "CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ChineseCLIPConfig",
        "ChineseCLIPProcessor",
        "ChineseCLIPTextConfig",
        "ChineseCLIPVisionConfig",
    ],
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    "models.clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapProcessor",
        "ClapTextConfig",
    ],
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    "models.clip": [
        "CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPConfig",
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        "CLIPProcessor",
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        "CLIPTextConfig",
        "CLIPTokenizer",
        "CLIPVisionConfig",
    ],
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    "models.clipseg": [
        "CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPSegConfig",
        "CLIPSegProcessor",
        "CLIPSegTextConfig",
        "CLIPSegVisionConfig",
    ],
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    "models.codegen": ["CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP", "CodeGenConfig", "CodeGenTokenizer"],
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    "models.conditional_detr": ["CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConditionalDetrConfig"],
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    "models.convbert": ["CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvBertConfig", "ConvBertTokenizer"],
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    "models.convnext": ["CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextConfig"],
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    "models.convnextv2": ["CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextV2Config"],
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    "models.cpm": [],
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    "models.cpmant": ["CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CpmAntConfig", "CpmAntTokenizer"],
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    "models.ctrl": ["CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CTRLConfig", "CTRLTokenizer"],
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    "models.cvt": ["CVT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CvtConfig"],
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    "models.data2vec": [
        "DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Data2VecAudioConfig",
        "Data2VecTextConfig",
        "Data2VecVisionConfig",
    ],
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    "models.deberta": ["DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaConfig", "DebertaTokenizer"],
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    "models.deberta_v2": ["DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaV2Config"],
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    "models.decision_transformer": ["DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "DecisionTransformerConfig"],
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    "models.deformable_detr": ["DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeformableDetrConfig"],
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    "models.deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig"],
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    "models.deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
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    "models.detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig"],
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    "models.dialogpt": [],
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    "models.dinat": ["DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DinatConfig"],
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    "models.distilbert": ["DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DistilBertConfig", "DistilBertTokenizer"],
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    "models.dit": [],
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    "models.donut": ["DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "DonutProcessor", "DonutSwinConfig"],
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    "models.dpr": [
        "DPR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DPRConfig",
        "DPRContextEncoderTokenizer",
        "DPRQuestionEncoderTokenizer",
        "DPRReaderOutput",
        "DPRReaderTokenizer",
    ],
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    "models.dpt": ["DPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DPTConfig"],
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    "models.efficientformer": ["EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "EfficientFormerConfig"],
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    "models.efficientnet": ["EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "EfficientNetConfig"],
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    "models.electra": ["ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP", "ElectraConfig", "ElectraTokenizer"],
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    "models.encodec": [
        "ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "EncodecConfig",
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        "EncodecFeatureExtractor",
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    ],
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    "models.encoder_decoder": ["EncoderDecoderConfig"],
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    "models.ernie": [
        "ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ErnieConfig",
    ],
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    "models.ernie_m": ["ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP", "ErnieMConfig"],
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    "models.esm": ["ESM_PRETRAINED_CONFIG_ARCHIVE_MAP", "EsmConfig", "EsmTokenizer"],
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    "models.flaubert": ["FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FlaubertConfig", "FlaubertTokenizer"],
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    "models.flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
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    "models.fnet": ["FNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FNetConfig"],
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    "models.focalnet": ["FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FocalNetConfig"],
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    "models.fsmt": ["FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FSMTConfig", "FSMTTokenizer"],
    "models.funnel": ["FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP", "FunnelConfig", "FunnelTokenizer"],
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    "models.git": ["GIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GitConfig", "GitProcessor", "GitVisionConfig"],
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    "models.glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"],
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    "models.gpt2": ["GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPT2Config", "GPT2Tokenizer"],
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    "models.gpt_bigcode": ["GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTBigCodeConfig"],
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    "models.gpt_neo": ["GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoConfig"],
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    "models.gpt_neox": ["GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXConfig"],
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    "models.gpt_neox_japanese": ["GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXJapaneseConfig"],
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    "models.gpt_sw3": [],
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    "models.gptj": ["GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTJConfig"],
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    "models.gptsan_japanese": [
        "GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GPTSanJapaneseConfig",
        "GPTSanJapaneseTokenizer",
    ],
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    "models.graphormer": ["GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "GraphormerConfig"],
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    "models.groupvit": [
        "GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GroupViTConfig",
        "GroupViTTextConfig",
        "GroupViTVisionConfig",
    ],
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    "models.herbert": ["HerbertTokenizer"],
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    "models.hubert": ["HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "HubertConfig"],
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    "models.ibert": ["IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "IBertConfig"],
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    "models.imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig"],
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    "models.informer": ["INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "InformerConfig"],
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    "models.instructblip": [
        "INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "InstructBlipConfig",
        "InstructBlipProcessor",
        "InstructBlipQFormerConfig",
        "InstructBlipVisionConfig",
    ],
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    "models.jukebox": [
        "JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "JukeboxConfig",
        "JukeboxPriorConfig",
        "JukeboxTokenizer",
        "JukeboxVQVAEConfig",
    ],
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    "models.layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMTokenizer"],
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    "models.layoutlmv2": [
        "LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv2Config",
        "LayoutLMv2FeatureExtractor",
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        "LayoutLMv2ImageProcessor",
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        "LayoutLMv2Processor",
        "LayoutLMv2Tokenizer",
    ],
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    "models.layoutlmv3": [
        "LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv3Config",
        "LayoutLMv3FeatureExtractor",
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        "LayoutLMv3ImageProcessor",
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        "LayoutLMv3Processor",
        "LayoutLMv3Tokenizer",
    ],
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    "models.layoutxlm": ["LayoutXLMProcessor"],
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    "models.led": ["LED_PRETRAINED_CONFIG_ARCHIVE_MAP", "LEDConfig", "LEDTokenizer"],
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    "models.levit": ["LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LevitConfig"],
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    "models.lilt": ["LILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LiltConfig"],
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    "models.llama": ["LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "LlamaConfig"],
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    "models.longformer": ["LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongformerConfig", "LongformerTokenizer"],
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    "models.longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config"],
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    "models.luke": ["LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP", "LukeConfig", "LukeTokenizer"],
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    "models.lxmert": ["LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LxmertConfig", "LxmertTokenizer"],
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    "models.m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config"],
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    "models.marian": ["MarianConfig"],
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    "models.markuplm": [
        "MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MarkupLMConfig",
        "MarkupLMFeatureExtractor",
        "MarkupLMProcessor",
        "MarkupLMTokenizer",
    ],
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    "models.mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
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    "models.maskformer": ["MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "MaskFormerConfig", "MaskFormerSwinConfig"],
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    "models.mbart": ["MBartConfig"],
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    "models.mbart50": [],
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    "models.mctct": ["MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MCTCTConfig", "MCTCTFeatureExtractor", "MCTCTProcessor"],
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    "models.mega": ["MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegaConfig"],
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    "models.megatron_bert": ["MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegatronBertConfig"],
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    "models.megatron_gpt2": [],
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    "models.mgp_str": ["MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP", "MgpstrConfig", "MgpstrProcessor", "MgpstrTokenizer"],
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    "models.mluke": [],
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    "models.mmbt": ["MMBTConfig"],
    "models.mobilebert": ["MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileBertConfig", "MobileBertTokenizer"],
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    "models.mobilenet_v1": ["MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileNetV1Config"],
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    "models.mobilenet_v2": ["MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileNetV2Config"],
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    "models.mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTConfig"],
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    "models.mobilevitv2": ["MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTV2Config"],
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    "models.mpnet": ["MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "MPNetConfig", "MPNetTokenizer"],
    "models.mt5": ["MT5Config"],
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    "models.musicgen": [
        "MUSICGEN_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MusicgenConfig",
        "MusicgenDecoderConfig",
    ],
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    "models.mvp": ["MvpConfig", "MvpTokenizer"],
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    "models.nat": ["NAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "NatConfig"],
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    "models.nezha": ["NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP", "NezhaConfig"],
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    "models.nllb": [],
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    "models.nllb_moe": ["NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP", "NllbMoeConfig"],
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    "models.nystromformer": [
        "NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "NystromformerConfig",
    ],
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    "models.oneformer": ["ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "OneFormerConfig", "OneFormerProcessor"],
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    "models.open_llama": ["OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenLlamaConfig"],
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    "models.openai": ["OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenAIGPTConfig", "OpenAIGPTTokenizer"],
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    "models.opt": ["OPTConfig"],
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    "models.owlvit": [
        "OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "OwlViTConfig",
        "OwlViTProcessor",
        "OwlViTTextConfig",
        "OwlViTVisionConfig",
    ],
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    "models.pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig", "PegasusTokenizer"],
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    "models.pegasus_x": ["PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusXConfig"],
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    "models.perceiver": ["PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PerceiverConfig", "PerceiverTokenizer"],
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    "models.phobert": ["PhobertTokenizer"],
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    "models.pix2struct": [
        "PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pix2StructConfig",
        "Pix2StructProcessor",
        "Pix2StructTextConfig",
        "Pix2StructVisionConfig",
    ],
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    "models.plbart": ["PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP", "PLBartConfig"],
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    "models.poolformer": ["POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PoolFormerConfig"],
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    "models.prophetnet": ["PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ProphetNetConfig", "ProphetNetTokenizer"],
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    "models.qdqbert": ["QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "QDQBertConfig"],
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    "models.rag": ["RagConfig", "RagRetriever", "RagTokenizer"],
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    "models.realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig", "RealmTokenizer"],
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    "models.reformer": ["REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "ReformerConfig"],
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    "models.regnet": ["REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "RegNetConfig"],
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    "models.rembert": ["REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RemBertConfig"],
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    "models.resnet": ["RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ResNetConfig"],
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    "models.retribert": ["RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RetriBertConfig", "RetriBertTokenizer"],
    "models.roberta": ["ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "RobertaConfig", "RobertaTokenizer"],
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    "models.roberta_prelayernorm": ["ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RobertaPreLayerNormConfig"],
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    "models.roc_bert": ["ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoCBertConfig", "RoCBertTokenizer"],
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    "models.roformer": ["ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoFormerConfig", "RoFormerTokenizer"],
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    "models.rwkv": ["RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP", "RwkvConfig"],
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    "models.sam": [
        "SAM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SamConfig",
        "SamMaskDecoderConfig",
        "SamProcessor",
        "SamPromptEncoderConfig",
        "SamVisionConfig",
    ],
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    "models.segformer": ["SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SegformerConfig"],
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    "models.sew": ["SEW_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWConfig"],
    "models.sew_d": ["SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWDConfig"],
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    "models.speech_encoder_decoder": ["SpeechEncoderDecoderConfig"],
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    "models.speech_to_text": [
        "SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2TextConfig",
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        "Speech2TextProcessor",
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    ],
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    "models.speech_to_text_2": [
        "SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2Text2Config",
        "Speech2Text2Processor",
        "Speech2Text2Tokenizer",
    ],
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    "models.speecht5": [
        "SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP",
        "SpeechT5Config",
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        "SpeechT5FeatureExtractor",
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        "SpeechT5HifiGanConfig",
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        "SpeechT5Processor",
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    ],
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    "models.splinter": ["SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SplinterConfig", "SplinterTokenizer"],
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    "models.squeezebert": ["SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "SqueezeBertConfig", "SqueezeBertTokenizer"],
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Shehan Munasinghe committed
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    "models.swiftformer": ["SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwiftFormerConfig"],
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novice committed
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    "models.swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig"],
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NielsRogge committed
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    "models.swin2sr": ["SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swin2SRConfig"],
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    "models.swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
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    "models.switch_transformers": ["SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwitchTransformersConfig"],
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    "models.t5": ["T5_PRETRAINED_CONFIG_ARCHIVE_MAP", "T5Config"],
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    "models.table_transformer": ["TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TableTransformerConfig"],
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    "models.tapas": ["TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP", "TapasConfig", "TapasTokenizer"],
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    "models.tapex": ["TapexTokenizer"],
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    "models.time_series_transformer": [
        "TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TimeSeriesTransformerConfig",
    ],
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    "models.timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
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amyeroberts committed
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    "models.timm_backbone": ["TimmBackboneConfig"],
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    "models.trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
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    "models.transfo_xl": [
        "TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TransfoXLConfig",
        "TransfoXLCorpus",
        "TransfoXLTokenizer",
    ],
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    "models.trocr": [
        "TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrOCRConfig",
        "TrOCRProcessor",
    ],
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    "models.tvlt": [
        "TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TvltConfig",
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        "TvltFeatureExtractor",
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        "TvltProcessor",
    ],
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    "models.umt5": ["UMT5Config"],
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    "models.unispeech": [
        "UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechConfig",
    ],
    "models.unispeech_sat": [
        "UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechSatConfig",
    ],
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    "models.upernet": ["UperNetConfig"],
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    "models.van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"],
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NielsRogge committed
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    "models.videomae": ["VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "VideoMAEConfig"],
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    "models.vilt": [
        "VILT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ViltConfig",
        "ViltFeatureExtractor",
        "ViltImageProcessor",
        "ViltProcessor",
    ],
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    "models.vision_encoder_decoder": ["VisionEncoderDecoderConfig"],
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    "models.vision_text_dual_encoder": ["VisionTextDualEncoderConfig", "VisionTextDualEncoderProcessor"],
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    "models.visual_bert": ["VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VisualBertConfig"],
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    "models.vit": ["VIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTConfig"],
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NielsRogge committed
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    "models.vit_hybrid": ["VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTHybridConfig"],
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NielsRogge committed
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    "models.vit_mae": ["VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMAEConfig"],
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    "models.vit_msn": ["VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMSNConfig"],
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    "models.wav2vec2": [
        "WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2Config",
        "Wav2Vec2CTCTokenizer",
        "Wav2Vec2FeatureExtractor",
        "Wav2Vec2Processor",
        "Wav2Vec2Tokenizer",
    ],
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    "models.wav2vec2_conformer": [
        "WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2ConformerConfig",
    ],
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    "models.wav2vec2_phoneme": ["Wav2Vec2PhonemeCTCTokenizer"],
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    "models.wav2vec2_with_lm": ["Wav2Vec2ProcessorWithLM"],
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    "models.wavlm": [
        "WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "WavLMConfig",
    ],
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    "models.whisper": [
        "WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "WhisperConfig",
        "WhisperFeatureExtractor",
        "WhisperProcessor",
        "WhisperTokenizer",
    ],
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    "models.x_clip": [
        "XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XCLIPConfig",
        "XCLIPProcessor",
        "XCLIPTextConfig",
        "XCLIPVisionConfig",
    ],
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    "models.xglm": ["XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XGLMConfig"],
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    "models.xlm": ["XLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMConfig", "XLMTokenizer"],
    "models.xlm_prophetnet": ["XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMProphetNetConfig"],
    "models.xlm_roberta": ["XLM_ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMRobertaConfig"],
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    "models.xlm_roberta_xl": ["XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMRobertaXLConfig"],
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    "models.xlnet": ["XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLNetConfig"],
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Jannis Vamvas committed
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    "models.xmod": ["XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP", "XmodConfig"],
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NielsRogge committed
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    "models.yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig"],
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    "models.yoso": ["YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP", "YosoConfig"],
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    "onnx": [],
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    "pipelines": [
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        "AudioClassificationPipeline",
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        "AutomaticSpeechRecognitionPipeline",
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        "Conversation",
        "ConversationalPipeline",
        "CsvPipelineDataFormat",
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        "DepthEstimationPipeline",
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        "DocumentQuestionAnsweringPipeline",
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        "FeatureExtractionPipeline",
        "FillMaskPipeline",
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        "ImageClassificationPipeline",
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        "ImageSegmentationPipeline",
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        "ImageToTextPipeline",
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        "JsonPipelineDataFormat",
        "NerPipeline",
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        "ObjectDetectionPipeline",
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        "PipedPipelineDataFormat",
        "Pipeline",
        "PipelineDataFormat",
        "QuestionAnsweringPipeline",
        "SummarizationPipeline",
        "TableQuestionAnsweringPipeline",
        "Text2TextGenerationPipeline",
        "TextClassificationPipeline",
        "TextGenerationPipeline",
        "TokenClassificationPipeline",
        "TranslationPipeline",
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        "VideoClassificationPipeline",
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        "VisualQuestionAnsweringPipeline",
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        "ZeroShotAudioClassificationPipeline",
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        "ZeroShotClassificationPipeline",
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        "ZeroShotImageClassificationPipeline",
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        "ZeroShotObjectDetectionPipeline",
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        "pipeline",
    ],
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    "processing_utils": ["ProcessorMixin"],
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    "testing_utils": [],
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    "tokenization_utils": ["PreTrainedTokenizer"],
    "tokenization_utils_base": [
        "AddedToken",
        "BatchEncoding",
        "CharSpan",
        "PreTrainedTokenizerBase",
        "SpecialTokensMixin",
        "TokenSpan",
    ],
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    "tools": [
        "Agent",
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        "AzureOpenAiAgent",
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        "HfAgent",
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        "LocalAgent",
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        "OpenAiAgent",
        "PipelineTool",
        "RemoteTool",
        "Tool",
        "launch_gradio_demo",
        "load_tool",
    ],
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    "trainer_callback": [
        "DefaultFlowCallback",
        "EarlyStoppingCallback",
        "PrinterCallback",
        "ProgressCallback",
        "TrainerCallback",
        "TrainerControl",
        "TrainerState",
    ],
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    "trainer_utils": ["EvalPrediction", "IntervalStrategy", "SchedulerType", "enable_full_determinism", "set_seed"],
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    "training_args": ["TrainingArguments"],
    "training_args_seq2seq": ["Seq2SeqTrainingArguments"],
    "training_args_tf": ["TFTrainingArguments"],
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    "utils": [
        "CONFIG_NAME",
        "MODEL_CARD_NAME",
        "PYTORCH_PRETRAINED_BERT_CACHE",
        "PYTORCH_TRANSFORMERS_CACHE",
        "SPIECE_UNDERLINE",
        "TF2_WEIGHTS_NAME",
        "TF_WEIGHTS_NAME",
        "TRANSFORMERS_CACHE",
        "WEIGHTS_NAME",
        "TensorType",
        "add_end_docstrings",
        "add_start_docstrings",
        "is_apex_available",
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        "is_bitsandbytes_available",
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        "is_datasets_available",
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        "is_decord_available",
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        "is_faiss_available",
        "is_flax_available",
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        "is_keras_nlp_available",
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        "is_phonemizer_available",
        "is_psutil_available",
        "is_py3nvml_available",
        "is_pyctcdecode_available",
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        "is_safetensors_available",
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        "is_scipy_available",
        "is_sentencepiece_available",
        "is_sklearn_available",
        "is_speech_available",
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        "is_tensorflow_text_available",
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        "is_tf_available",
        "is_timm_available",
        "is_tokenizers_available",
        "is_torch_available",
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        "is_torch_neuroncore_available",
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        "is_torch_tpu_available",
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        "is_torchvision_available",
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        "is_vision_available",
        "logging",
    ],
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    "utils.bitsandbytes": [],
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    "utils.quantization_config": ["BitsAndBytesConfig"],
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}
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# sentencepiece-backed objects
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try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_sentencepiece_objects

    _import_structure["utils.dummy_sentencepiece_objects"] = [
        name for name in dir(dummy_sentencepiece_objects) if not name.startswith("_")
    ]
else:
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    _import_structure["models.albert"].append("AlbertTokenizer")
    _import_structure["models.barthez"].append("BarthezTokenizer")
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    _import_structure["models.bartpho"].append("BartphoTokenizer")
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    _import_structure["models.bert_generation"].append("BertGenerationTokenizer")
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    _import_structure["models.big_bird"].append("BigBirdTokenizer")
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    _import_structure["models.camembert"].append("CamembertTokenizer")
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    _import_structure["models.cpm"].append("CpmTokenizer")
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    _import_structure["models.deberta_v2"].append("DebertaV2Tokenizer")
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    _import_structure["models.ernie_m"].append("ErnieMTokenizer")
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    _import_structure["models.fnet"].append("FNetTokenizer")
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    _import_structure["models.gpt_sw3"].append("GPTSw3Tokenizer")
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    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizer")
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    _import_structure["models.llama"].append("LlamaTokenizer")
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    _import_structure["models.m2m_100"].append("M2M100Tokenizer")
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    _import_structure["models.marian"].append("MarianTokenizer")
    _import_structure["models.mbart"].append("MBartTokenizer")
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    _import_structure["models.mbart50"].append("MBart50Tokenizer")
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    _import_structure["models.mluke"].append("MLukeTokenizer")
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    _import_structure["models.mt5"].append("MT5Tokenizer")
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    _import_structure["models.nllb"].append("NllbTokenizer")
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    _import_structure["models.pegasus"].append("PegasusTokenizer")
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    _import_structure["models.plbart"].append("PLBartTokenizer")
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    _import_structure["models.reformer"].append("ReformerTokenizer")
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    _import_structure["models.rembert"].append("RemBertTokenizer")
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    _import_structure["models.speech_to_text"].append("Speech2TextTokenizer")
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    _import_structure["models.speecht5"].append("SpeechT5Tokenizer")
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    _import_structure["models.t5"].append("T5Tokenizer")
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    _import_structure["models.xglm"].append("XGLMTokenizer")
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    _import_structure["models.xlm_prophetnet"].append("XLMProphetNetTokenizer")
    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizer")
    _import_structure["models.xlnet"].append("XLNetTokenizer")

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# tokenizers-backed objects
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try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_tokenizers_objects

    _import_structure["utils.dummy_tokenizers_objects"] = [
        name for name in dir(dummy_tokenizers_objects) if not name.startswith("_")
    ]
else:
    # Fast tokenizers structure
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    _import_structure["models.albert"].append("AlbertTokenizerFast")
    _import_structure["models.bart"].append("BartTokenizerFast")
    _import_structure["models.barthez"].append("BarthezTokenizerFast")
    _import_structure["models.bert"].append("BertTokenizerFast")
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    _import_structure["models.big_bird"].append("BigBirdTokenizerFast")
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    _import_structure["models.blenderbot"].append("BlenderbotTokenizerFast")
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    _import_structure["models.blenderbot_small"].append("BlenderbotSmallTokenizerFast")
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Younes Belkada committed
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    _import_structure["models.bloom"].append("BloomTokenizerFast")
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    _import_structure["models.camembert"].append("CamembertTokenizerFast")
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    _import_structure["models.clip"].append("CLIPTokenizerFast")
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    _import_structure["models.codegen"].append("CodeGenTokenizerFast")
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    _import_structure["models.convbert"].append("ConvBertTokenizerFast")
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    _import_structure["models.cpm"].append("CpmTokenizerFast")
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    _import_structure["models.deberta"].append("DebertaTokenizerFast")
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    _import_structure["models.deberta_v2"].append("DebertaV2TokenizerFast")
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    _import_structure["models.distilbert"].append("DistilBertTokenizerFast")
    _import_structure["models.dpr"].extend(
        ["DPRContextEncoderTokenizerFast", "DPRQuestionEncoderTokenizerFast", "DPRReaderTokenizerFast"]
    )
    _import_structure["models.electra"].append("ElectraTokenizerFast")
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    _import_structure["models.fnet"].append("FNetTokenizerFast")
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    _import_structure["models.funnel"].append("FunnelTokenizerFast")
    _import_structure["models.gpt2"].append("GPT2TokenizerFast")
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    _import_structure["models.gpt_neox"].append("GPTNeoXTokenizerFast")
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    _import_structure["models.gpt_neox_japanese"].append("GPTNeoXJapaneseTokenizer")
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    _import_structure["models.herbert"].append("HerbertTokenizerFast")
    _import_structure["models.layoutlm"].append("LayoutLMTokenizerFast")
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    _import_structure["models.layoutlmv2"].append("LayoutLMv2TokenizerFast")
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    _import_structure["models.layoutlmv3"].append("LayoutLMv3TokenizerFast")
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    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizerFast")
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    _import_structure["models.led"].append("LEDTokenizerFast")
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    _import_structure["models.llama"].append("LlamaTokenizerFast")
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    _import_structure["models.longformer"].append("LongformerTokenizerFast")
    _import_structure["models.lxmert"].append("LxmertTokenizerFast")
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NielsRogge committed
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    _import_structure["models.markuplm"].append("MarkupLMTokenizerFast")
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    _import_structure["models.mbart"].append("MBartTokenizerFast")
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    _import_structure["models.mbart50"].append("MBart50TokenizerFast")
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    _import_structure["models.mobilebert"].append("MobileBertTokenizerFast")
    _import_structure["models.mpnet"].append("MPNetTokenizerFast")
    _import_structure["models.mt5"].append("MT5TokenizerFast")
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StevenTang1998 committed
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    _import_structure["models.mvp"].append("MvpTokenizerFast")
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Lysandre Debut committed
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    _import_structure["models.nllb"].append("NllbTokenizerFast")
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    _import_structure["models.openai"].append("OpenAIGPTTokenizerFast")
    _import_structure["models.pegasus"].append("PegasusTokenizerFast")
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    _import_structure["models.realm"].append("RealmTokenizerFast")
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    _import_structure["models.reformer"].append("ReformerTokenizerFast")
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    _import_structure["models.rembert"].append("RemBertTokenizerFast")
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    _import_structure["models.retribert"].append("RetriBertTokenizerFast")
    _import_structure["models.roberta"].append("RobertaTokenizerFast")
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    _import_structure["models.roformer"].append("RoFormerTokenizerFast")
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Ori Ram committed
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    _import_structure["models.splinter"].append("SplinterTokenizerFast")
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    _import_structure["models.squeezebert"].append("SqueezeBertTokenizerFast")
    _import_structure["models.t5"].append("T5TokenizerFast")
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    _import_structure["models.whisper"].append("WhisperTokenizerFast")
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    _import_structure["models.xglm"].append("XGLMTokenizerFast")
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    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizerFast")
    _import_structure["models.xlnet"].append("XLNetTokenizerFast")
    _import_structure["tokenization_utils_fast"] = ["PreTrainedTokenizerFast"]
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try:
    if not (is_sentencepiece_available() and is_tokenizers_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
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    from .utils import dummy_sentencepiece_and_tokenizers_objects

    _import_structure["utils.dummy_sentencepiece_and_tokenizers_objects"] = [
        name for name in dir(dummy_sentencepiece_and_tokenizers_objects) if not name.startswith("_")
    ]
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else:
    _import_structure["convert_slow_tokenizer"] = ["SLOW_TO_FAST_CONVERTERS", "convert_slow_tokenizer"]
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# Speech-specific objects
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try:
    if not is_speech_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
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    from .utils import dummy_speech_objects

    _import_structure["utils.dummy_speech_objects"] = [
        name for name in dir(dummy_speech_objects) if not name.startswith("_")
    ]
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else:
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    _import_structure["models.audio_spectrogram_transformer"].append("ASTFeatureExtractor")
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    _import_structure["models.speech_to_text"].append("Speech2TextFeatureExtractor")

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# Tensorflow-text-specific objects
try:
    if not is_tensorflow_text_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_tensorflow_text_objects

    _import_structure["utils.dummy_tensorflow_text_objects"] = [
        name for name in dir(dummy_tensorflow_text_objects) if not name.startswith("_")
    ]
else:
    _import_structure["models.bert"].append("TFBertTokenizer")

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# keras-nlp-specific objects
try:
    if not is_keras_nlp_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_keras_nlp_objects

    _import_structure["utils.dummy_keras_nlp_objects"] = [
        name for name in dir(dummy_keras_nlp_objects) if not name.startswith("_")
    ]
else:
    _import_structure["models.gpt2"].append("TFGPT2Tokenizer")

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# Vision-specific objects
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try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_vision_objects

    _import_structure["utils.dummy_vision_objects"] = [
        name for name in dir(dummy_vision_objects) if not name.startswith("_")
    ]
else:
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    _import_structure["image_processing_utils"] = ["ImageProcessingMixin"]
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    _import_structure["image_utils"] = ["ImageFeatureExtractionMixin"]
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amyeroberts committed
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    _import_structure["models.beit"].extend(["BeitFeatureExtractor", "BeitImageProcessor"])
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NielsRogge committed
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    _import_structure["models.bit"].extend(["BitImageProcessor"])
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Younes Belkada committed
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    _import_structure["models.blip"].extend(["BlipImageProcessor"])
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    _import_structure["models.bridgetower"].append("BridgeTowerImageProcessor")
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    _import_structure["models.chinese_clip"].extend(["ChineseCLIPFeatureExtractor", "ChineseCLIPImageProcessor"])
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amyeroberts committed
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    _import_structure["models.clip"].extend(["CLIPFeatureExtractor", "CLIPImageProcessor"])
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    _import_structure["models.conditional_detr"].extend(
        ["ConditionalDetrFeatureExtractor", "ConditionalDetrImageProcessor"]
    )
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    _import_structure["models.convnext"].extend(["ConvNextFeatureExtractor", "ConvNextImageProcessor"])
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    _import_structure["models.deformable_detr"].extend(
        ["DeformableDetrFeatureExtractor", "DeformableDetrImageProcessor"]
    )
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amyeroberts committed
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    _import_structure["models.deit"].extend(["DeiTFeatureExtractor", "DeiTImageProcessor"])
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NielsRogge committed
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    _import_structure["models.deta"].append("DetaImageProcessor")
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    _import_structure["models.detr"].extend(["DetrFeatureExtractor", "DetrImageProcessor"])
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    _import_structure["models.donut"].extend(["DonutFeatureExtractor", "DonutImageProcessor"])
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amyeroberts committed
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    _import_structure["models.dpt"].extend(["DPTFeatureExtractor", "DPTImageProcessor"])
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    _import_structure["models.efficientformer"].append("EfficientFormerImageProcessor")
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Alara Dirik committed
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    _import_structure["models.efficientnet"].append("EfficientNetImageProcessor")
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    _import_structure["models.flava"].extend(["FlavaFeatureExtractor", "FlavaImageProcessor", "FlavaProcessor"])
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    _import_structure["models.glpn"].extend(["GLPNFeatureExtractor", "GLPNImageProcessor"])
    _import_structure["models.imagegpt"].extend(["ImageGPTFeatureExtractor", "ImageGPTImageProcessor"])
    _import_structure["models.layoutlmv2"].extend(["LayoutLMv2FeatureExtractor", "LayoutLMv2ImageProcessor"])
    _import_structure["models.layoutlmv3"].extend(["LayoutLMv3FeatureExtractor", "LayoutLMv3ImageProcessor"])
    _import_structure["models.levit"].extend(["LevitFeatureExtractor", "LevitImageProcessor"])
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    _import_structure["models.mask2former"].append("Mask2FormerImageProcessor")
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    _import_structure["models.maskformer"].extend(["MaskFormerFeatureExtractor", "MaskFormerImageProcessor"])
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    _import_structure["models.mobilenet_v1"].extend(["MobileNetV1FeatureExtractor", "MobileNetV1ImageProcessor"])
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    _import_structure["models.mobilenet_v2"].extend(["MobileNetV2FeatureExtractor", "MobileNetV2ImageProcessor"])
amyeroberts's avatar
amyeroberts committed
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    _import_structure["models.mobilevit"].extend(["MobileViTFeatureExtractor", "MobileViTImageProcessor"])
Jitesh Jain's avatar
Jitesh Jain committed
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    _import_structure["models.oneformer"].extend(["OneFormerImageProcessor"])
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    _import_structure["models.owlvit"].extend(["OwlViTFeatureExtractor", "OwlViTImageProcessor"])
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amyeroberts committed
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    _import_structure["models.perceiver"].extend(["PerceiverFeatureExtractor", "PerceiverImageProcessor"])
Younes Belkada's avatar
Younes Belkada committed
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    _import_structure["models.pix2struct"].extend(["Pix2StructImageProcessor"])
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amyeroberts committed
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    _import_structure["models.poolformer"].extend(["PoolFormerFeatureExtractor", "PoolFormerImageProcessor"])
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    _import_structure["models.sam"].extend(["SamImageProcessor"])
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amyeroberts committed
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    _import_structure["models.segformer"].extend(["SegformerFeatureExtractor", "SegformerImageProcessor"])
NielsRogge's avatar
NielsRogge committed
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    _import_structure["models.swin2sr"].append("Swin2SRImageProcessor")
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Zineng Tang committed
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    _import_structure["models.tvlt"].append("TvltImageProcessor")
amyeroberts's avatar
amyeroberts committed
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    _import_structure["models.videomae"].extend(["VideoMAEFeatureExtractor", "VideoMAEImageProcessor"])
    _import_structure["models.vilt"].extend(["ViltFeatureExtractor", "ViltImageProcessor", "ViltProcessor"])
    _import_structure["models.vit"].extend(["ViTFeatureExtractor", "ViTImageProcessor"])
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NielsRogge committed
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    _import_structure["models.vit_hybrid"].extend(["ViTHybridImageProcessor"])
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    _import_structure["models.yolos"].extend(["YolosFeatureExtractor", "YolosImageProcessor"])
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# PyTorch-backed objects
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try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_pt_objects

    _import_structure["utils.dummy_pt_objects"] = [name for name in dir(dummy_pt_objects) if not name.startswith("_")]
else:
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    _import_structure["activations"] = []
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    _import_structure["benchmark.benchmark"] = ["PyTorchBenchmark"]
    _import_structure["benchmark.benchmark_args"] = ["PyTorchBenchmarkArguments"]
    _import_structure["data.datasets"] = [
        "GlueDataset",
        "GlueDataTrainingArguments",
        "LineByLineTextDataset",
        "LineByLineWithRefDataset",
        "LineByLineWithSOPTextDataset",
        "SquadDataset",
        "SquadDataTrainingArguments",
        "TextDataset",
        "TextDatasetForNextSentencePrediction",
    ]
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    _import_structure["deepspeed"] = []
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    _import_structure["generation"].extend(
        [
            "BeamScorer",
            "BeamSearchScorer",
            "ConstrainedBeamSearchScorer",
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            "Constraint",
            "ConstraintListState",
            "DisjunctiveConstraint",
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            "ForcedBOSTokenLogitsProcessor",
            "ForcedEOSTokenLogitsProcessor",
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            "GenerationMixin",
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            "HammingDiversityLogitsProcessor",
            "InfNanRemoveLogitsProcessor",
            "LogitsProcessor",
            "LogitsProcessorList",
            "LogitsWarper",
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            "MaxLengthCriteria",
            "MaxTimeCriteria",
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            "MinLengthLogitsProcessor",
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            "MinNewTokensLengthLogitsProcessor",
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            "NoBadWordsLogitsProcessor",
            "NoRepeatNGramLogitsProcessor",
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            "PhrasalConstraint",
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            "PrefixConstrainedLogitsProcessor",
            "RepetitionPenaltyLogitsProcessor",
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            "SequenceBiasLogitsProcessor",
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            "StoppingCriteria",
            "StoppingCriteriaList",
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            "TemperatureLogitsWarper",
            "TopKLogitsWarper",
            "TopPLogitsWarper",
            "TypicalLogitsWarper",
            "top_k_top_p_filtering",
        ]
    )
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    _import_structure["generation_utils"] = []
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    _import_structure["modeling_outputs"] = []
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    _import_structure["modeling_utils"] = ["PreTrainedModel"]
Suraj Patil's avatar
Suraj Patil committed
999

NielsRogge's avatar
NielsRogge committed
1000
    # PyTorch models structure
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    _import_structure["models.albert"].extend(
        [
            "ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AlbertForMaskedLM",
            "AlbertForMultipleChoice",
            "AlbertForPreTraining",
            "AlbertForQuestionAnswering",
            "AlbertForSequenceClassification",
            "AlbertForTokenClassification",
            "AlbertModel",
            "AlbertPreTrainedModel",
            "load_tf_weights_in_albert",
        ]
    )
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    _import_structure["models.align"].extend(
        [
            "ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AlignModel",
            "AlignPreTrainedModel",
            "AlignTextModel",
            "AlignVisionModel",
        ]
    )
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Jongjyh committed
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    _import_structure["models.altclip"].extend(
        [
            "ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AltCLIPModel",
            "AltCLIPPreTrainedModel",
            "AltCLIPTextModel",
            "AltCLIPVisionModel",
        ]
    )
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    _import_structure["models.audio_spectrogram_transformer"].extend(
        [
            "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ASTForAudioClassification",
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            "ASTModel",
            "ASTPreTrainedModel",
        ]
    )
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    _import_structure["models.auto"].extend(
        [
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            "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_AUDIO_XVECTOR_MAPPING",
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            "MODEL_FOR_BACKBONE_MAPPING",
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            "MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING",
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            "MODEL_FOR_CAUSAL_LM_MAPPING",
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            "MODEL_FOR_CTC_MAPPING",
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            "MODEL_FOR_DEPTH_ESTIMATION_MAPPING",
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            "MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
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            "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_IMAGE_SEGMENTATION_MAPPING",
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            "MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING",
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NielsRogge committed
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            "MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
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            "MODEL_FOR_MASKED_LM_MAPPING",
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            "MODEL_FOR_MASK_GENERATION_MAPPING",
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            "MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
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            "MODEL_FOR_OBJECT_DETECTION_MAPPING",
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            "MODEL_FOR_PRETRAINING_MAPPING",
            "MODEL_FOR_QUESTION_ANSWERING_MAPPING",
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            "MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
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            "MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
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            "MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
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            "MODEL_FOR_TEXT_ENCODING_MAPPING",
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            "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING",
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            "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_VISION_2_SEQ_MAPPING",
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            "MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING",
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            "MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING",
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            "MODEL_MAPPING",
            "MODEL_WITH_LM_HEAD_MAPPING",
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            "AutoBackbone",
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            "AutoModel",
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            "AutoModelForAudioClassification",
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            "AutoModelForAudioFrameClassification",
            "AutoModelForAudioXVector",
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            "AutoModelForCausalLM",
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            "AutoModelForCTC",
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            "AutoModelForDepthEstimation",
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            "AutoModelForDocumentQuestionAnswering",
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            "AutoModelForImageClassification",
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            "AutoModelForImageSegmentation",
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            "AutoModelForInstanceSegmentation",
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            "AutoModelForMaskedImageModeling",
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            "AutoModelForMaskedLM",
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            "AutoModelForMaskGeneration",
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            "AutoModelForMultipleChoice",
            "AutoModelForNextSentencePrediction",
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            "AutoModelForObjectDetection",
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            "AutoModelForPreTraining",
            "AutoModelForQuestionAnswering",
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            "AutoModelForSemanticSegmentation",
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            "AutoModelForSeq2SeqLM",
            "AutoModelForSequenceClassification",
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            "AutoModelForSpeechSeq2Seq",
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            "AutoModelForTableQuestionAnswering",
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            "AutoModelForTextEncoding",
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            "AutoModelForTokenClassification",
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            "AutoModelForUniversalSegmentation",
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NielsRogge committed
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            "AutoModelForVideoClassification",
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            "AutoModelForVision2Seq",
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            "AutoModelForVisualQuestionAnswering",
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            "AutoModelForZeroShotImageClassification",
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            "AutoModelForZeroShotObjectDetection",
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            "AutoModelWithLMHead",
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        ]
    )
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    _import_structure["models.autoformer"].extend(
        [
            "AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AutoformerForPrediction",
            "AutoformerModel",
            "AutoformerPreTrainedModel",
        ]
    )
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    _import_structure["models.bart"].extend(
        [
            "BART_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "BartForCausalLM",
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            "BartForConditionalGeneration",
            "BartForQuestionAnswering",
            "BartForSequenceClassification",
            "BartModel",
            "BartPretrainedModel",
            "PretrainedBartModel",
        ]
    )
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    _import_structure["models.beit"].extend(
        [
            "BEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BeitForImageClassification",
            "BeitForMaskedImageModeling",
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            "BeitForSemanticSegmentation",
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            "BeitModel",
            "BeitPreTrainedModel",
        ]
    )
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    _import_structure["models.bert"].extend(
        [
            "BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BertForMaskedLM",
            "BertForMultipleChoice",
            "BertForNextSentencePrediction",
            "BertForPreTraining",
            "BertForQuestionAnswering",
            "BertForSequenceClassification",
            "BertForTokenClassification",
            "BertLayer",
            "BertLMHeadModel",
            "BertModel",
            "BertPreTrainedModel",
            "load_tf_weights_in_bert",
        ]
    )
    _import_structure["models.bert_generation"].extend(
        [
            "BertGenerationDecoder",
            "BertGenerationEncoder",
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            "BertGenerationPreTrainedModel",
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            "load_tf_weights_in_bert_generation",
        ]
    )
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    _import_structure["models.big_bird"].extend(
        [
            "BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BigBirdForCausalLM",
            "BigBirdForMaskedLM",
            "BigBirdForMultipleChoice",
            "BigBirdForPreTraining",
            "BigBirdForQuestionAnswering",
            "BigBirdForSequenceClassification",
            "BigBirdForTokenClassification",
            "BigBirdLayer",
            "BigBirdModel",
            "BigBirdPreTrainedModel",
            "load_tf_weights_in_big_bird",
        ]
    )
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    _import_structure["models.bigbird_pegasus"].extend(
        [
            "BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BigBirdPegasusForCausalLM",
            "BigBirdPegasusForConditionalGeneration",
            "BigBirdPegasusForQuestionAnswering",
            "BigBirdPegasusForSequenceClassification",
            "BigBirdPegasusModel",
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            "BigBirdPegasusPreTrainedModel",
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        ]
    )
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    _import_structure["models.biogpt"].extend(
        [
            "BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BioGptForCausalLM",
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            "BioGptForSequenceClassification",
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            "BioGptForTokenClassification",
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            "BioGptModel",
            "BioGptPreTrainedModel",
        ]
    )
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    _import_structure["models.bit"].extend(
        [
            "BIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BitBackbone",
            "BitForImageClassification",
            "BitModel",
            "BitPreTrainedModel",
        ]
    )
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    _import_structure["models.blenderbot"].extend(
        [
            "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "BlenderbotForCausalLM",
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            "BlenderbotForConditionalGeneration",
            "BlenderbotModel",
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            "BlenderbotPreTrainedModel",
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        ]
    )
    _import_structure["models.blenderbot_small"].extend(
        [
            "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "BlenderbotSmallForCausalLM",
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            "BlenderbotSmallForConditionalGeneration",
            "BlenderbotSmallModel",
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            "BlenderbotSmallPreTrainedModel",
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        ]
    )
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    _import_structure["models.blip"].extend(
        [
            "BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BlipForConditionalGeneration",
            "BlipForImageTextRetrieval",
            "BlipForQuestionAnswering",
            "BlipModel",
            "BlipPreTrainedModel",
            "BlipTextModel",
            "BlipVisionModel",
        ]
    )
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    _import_structure["models.blip_2"].extend(
        [
            "BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Blip2ForConditionalGeneration",
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            "Blip2Model",
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            "Blip2PreTrainedModel",
            "Blip2QFormerModel",
            "Blip2VisionModel",
        ]
    )
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    _import_structure["models.bloom"].extend(
        [
            "BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BloomForCausalLM",
            "BloomForQuestionAnswering",
            "BloomForSequenceClassification",
            "BloomForTokenClassification",
            "BloomModel",
            "BloomPreTrainedModel",
        ]
    )
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    _import_structure["models.bridgetower"].extend(
        [
            "BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "BridgeTowerForContrastiveLearning",
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            "BridgeTowerForImageAndTextRetrieval",
            "BridgeTowerForMaskedLM",
            "BridgeTowerModel",
            "BridgeTowerPreTrainedModel",
        ]
    )
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    _import_structure["models.camembert"].extend(
        [
            "CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CamembertForCausalLM",
            "CamembertForMaskedLM",
            "CamembertForMultipleChoice",
            "CamembertForQuestionAnswering",
            "CamembertForSequenceClassification",
            "CamembertForTokenClassification",
            "CamembertModel",
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            "CamembertPreTrainedModel",
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        ]
    )
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    _import_structure["models.canine"].extend(
        [
            "CANINE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CanineForMultipleChoice",
            "CanineForQuestionAnswering",
            "CanineForSequenceClassification",
            "CanineForTokenClassification",
            "CanineLayer",
            "CanineModel",
            "CaninePreTrainedModel",
            "load_tf_weights_in_canine",
        ]
    )
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    _import_structure["models.chinese_clip"].extend(
        [
            "CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ChineseCLIPModel",
            "ChineseCLIPPreTrainedModel",
            "ChineseCLIPTextModel",
            "ChineseCLIPVisionModel",
        ]
    )
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    _import_structure["models.clap"].extend(
        [
            "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ClapAudioModel",
            "ClapAudioModelWithProjection",
            "ClapFeatureExtractor",
            "ClapModel",
            "ClapPreTrainedModel",
            "ClapTextModel",
            "ClapTextModelWithProjection",
        ]
    )
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    _import_structure["models.clip"].extend(
        [
            "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CLIPModel",
            "CLIPPreTrainedModel",
            "CLIPTextModel",
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            "CLIPTextModelWithProjection",
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            "CLIPVisionModel",
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            "CLIPVisionModelWithProjection",
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        ]
    )
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    _import_structure["models.clipseg"].extend(
        [
            "CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "CLIPSegForImageSegmentation",
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            "CLIPSegModel",
            "CLIPSegPreTrainedModel",
            "CLIPSegTextModel",
            "CLIPSegVisionModel",
        ]
    )
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    _import_structure["models.codegen"].extend(
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        [
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            "CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CodeGenForCausalLM",
            "CodeGenModel",
            "CodeGenPreTrainedModel",
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        ]
    )
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    _import_structure["models.conditional_detr"].extend(
        [
            "CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConditionalDetrForObjectDetection",
            "ConditionalDetrForSegmentation",
            "ConditionalDetrModel",
            "ConditionalDetrPreTrainedModel",
        ]
    )
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    _import_structure["models.convbert"].extend(
        [
            "CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConvBertForMaskedLM",
            "ConvBertForMultipleChoice",
            "ConvBertForQuestionAnswering",
            "ConvBertForSequenceClassification",
            "ConvBertForTokenClassification",
            "ConvBertLayer",
            "ConvBertModel",
            "ConvBertPreTrainedModel",
            "load_tf_weights_in_convbert",
        ]
    )
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    _import_structure["models.convnext"].extend(
        [
            "CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ConvNextBackbone",
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            "ConvNextForImageClassification",
            "ConvNextModel",
            "ConvNextPreTrainedModel",
        ]
    )
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    _import_structure["models.convnextv2"].extend(
        [
            "CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConvNextV2Backbone",
            "ConvNextV2ForImageClassification",
            "ConvNextV2Model",
            "ConvNextV2PreTrainedModel",
        ]
    )
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    _import_structure["models.cpmant"].extend(
        [
            "CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CpmAntForCausalLM",
            "CpmAntModel",
            "CpmAntPreTrainedModel",
        ]
    )
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    _import_structure["models.ctrl"].extend(
        [
            "CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CTRLForSequenceClassification",
            "CTRLLMHeadModel",
            "CTRLModel",
            "CTRLPreTrainedModel",
        ]
    )
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    _import_structure["models.cvt"].extend(
        [
            "CVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CvtForImageClassification",
            "CvtModel",
            "CvtPreTrainedModel",
        ]
    )
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    _import_structure["models.data2vec"].extend(
        [
            "DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "Data2VecAudioForAudioFrameClassification",
            "Data2VecAudioForCTC",
            "Data2VecAudioForSequenceClassification",
            "Data2VecAudioForXVector",
            "Data2VecAudioModel",
            "Data2VecAudioPreTrainedModel",
            "Data2VecTextForCausalLM",
            "Data2VecTextForMaskedLM",
            "Data2VecTextForMultipleChoice",
            "Data2VecTextForQuestionAnswering",
            "Data2VecTextForSequenceClassification",
            "Data2VecTextForTokenClassification",
            "Data2VecTextModel",
            "Data2VecTextPreTrainedModel",
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            "Data2VecVisionForImageClassification",
            "Data2VecVisionForSemanticSegmentation",
            "Data2VecVisionModel",
            "Data2VecVisionPreTrainedModel",
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        ]
    )
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    _import_structure["models.deberta"].extend(
        [
            "DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "DebertaForMaskedLM",
            "DebertaForQuestionAnswering",
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            "DebertaForSequenceClassification",
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            "DebertaForTokenClassification",
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            "DebertaModel",
            "DebertaPreTrainedModel",
        ]
    )
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    _import_structure["models.deberta_v2"].extend(
        [
            "DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "DebertaV2ForMaskedLM",
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            "DebertaV2ForMultipleChoice",
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            "DebertaV2ForQuestionAnswering",
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            "DebertaV2ForSequenceClassification",
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            "DebertaV2ForTokenClassification",
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            "DebertaV2Model",
            "DebertaV2PreTrainedModel",
        ]
    )
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    _import_structure["models.decision_transformer"].extend(
        [
            "DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DecisionTransformerGPT2Model",
            "DecisionTransformerGPT2PreTrainedModel",
            "DecisionTransformerModel",
            "DecisionTransformerPreTrainedModel",
        ]
    )
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    _import_structure["models.deformable_detr"].extend(
        [
            "DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DeformableDetrForObjectDetection",
            "DeformableDetrModel",
            "DeformableDetrPreTrainedModel",
        ]
    )
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    _import_structure["models.deit"].extend(
        [
            "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DeiTForImageClassification",
            "DeiTForImageClassificationWithTeacher",
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            "DeiTForMaskedImageModeling",
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            "DeiTModel",
            "DeiTPreTrainedModel",
        ]
    )
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    _import_structure["models.deta"].extend(
        [
            "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetaForObjectDetection",
            "DetaModel",
            "DetaPreTrainedModel",
        ]
    )
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    _import_structure["models.detr"].extend(
        [
            "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetrForObjectDetection",
            "DetrForSegmentation",
            "DetrModel",
            "DetrPreTrainedModel",
        ]
    )
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    _import_structure["models.dinat"].extend(
        [
            "DINAT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "DinatBackbone",
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            "DinatForImageClassification",
            "DinatModel",
            "DinatPreTrainedModel",
        ]
    )
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    _import_structure["models.distilbert"].extend(
        [
            "DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DistilBertForMaskedLM",
            "DistilBertForMultipleChoice",
            "DistilBertForQuestionAnswering",
            "DistilBertForSequenceClassification",
            "DistilBertForTokenClassification",
            "DistilBertModel",
            "DistilBertPreTrainedModel",
        ]
    )
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    _import_structure["models.donut"].extend(
        [
            "DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DonutSwinModel",
            "DonutSwinPreTrainedModel",
        ]
    )
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    _import_structure["models.dpr"].extend(
        [
            "DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPRContextEncoder",
            "DPRPretrainedContextEncoder",
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            "DPRPreTrainedModel",
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            "DPRPretrainedQuestionEncoder",
            "DPRPretrainedReader",
            "DPRQuestionEncoder",
            "DPRReader",
        ]
    )
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    _import_structure["models.dpt"].extend(
        [
            "DPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPTForDepthEstimation",
            "DPTForSemanticSegmentation",
            "DPTModel",
            "DPTPreTrainedModel",
        ]
    )
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    _import_structure["models.efficientformer"].extend(
        [
            "EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "EfficientFormerForImageClassification",
            "EfficientFormerForImageClassificationWithTeacher",
            "EfficientFormerModel",
            "EfficientFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.efficientnet"].extend(
        [
            "EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "EfficientNetForImageClassification",
            "EfficientNetModel",
            "EfficientNetPreTrainedModel",
        ]
    )
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    _import_structure["models.electra"].extend(
        [
            "ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ElectraForCausalLM",
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            "ElectraForMaskedLM",
            "ElectraForMultipleChoice",
            "ElectraForPreTraining",
            "ElectraForQuestionAnswering",
            "ElectraForSequenceClassification",
            "ElectraForTokenClassification",
            "ElectraModel",
            "ElectraPreTrainedModel",
            "load_tf_weights_in_electra",
        ]
    )
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    _import_structure["models.encodec"].extend(
        [
            "ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST",
            "EncodecModel",
            "EncodecPreTrainedModel",
        ]
    )
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    _import_structure["models.encoder_decoder"].append("EncoderDecoderModel")
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    _import_structure["models.ernie"].extend(
        [
            "ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ErnieForCausalLM",
            "ErnieForMaskedLM",
            "ErnieForMultipleChoice",
            "ErnieForNextSentencePrediction",
            "ErnieForPreTraining",
            "ErnieForQuestionAnswering",
            "ErnieForSequenceClassification",
            "ErnieForTokenClassification",
            "ErnieModel",
            "ErniePreTrainedModel",
        ]
    )
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    _import_structure["models.ernie_m"].extend(
        [
            "ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ErnieMForInformationExtraction",
            "ErnieMForMultipleChoice",
            "ErnieMForQuestionAnswering",
            "ErnieMForSequenceClassification",
            "ErnieMForTokenClassification",
            "ErnieMModel",
            "ErnieMPreTrainedModel",
        ]
    )
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    _import_structure["models.esm"].extend(
        [
            "ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "EsmFoldPreTrainedModel",
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            "EsmForMaskedLM",
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            "EsmForProteinFolding",
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            "EsmForSequenceClassification",
            "EsmForTokenClassification",
            "EsmModel",
            "EsmPreTrainedModel",
        ]
    )
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    _import_structure["models.flaubert"].extend(
        [
            "FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlaubertForMultipleChoice",
            "FlaubertForQuestionAnswering",
            "FlaubertForQuestionAnsweringSimple",
            "FlaubertForSequenceClassification",
            "FlaubertForTokenClassification",
            "FlaubertModel",
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            "FlaubertPreTrainedModel",
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            "FlaubertWithLMHeadModel",
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        ]
    )
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    _import_structure["models.flava"].extend(
        [
            "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlavaForPreTraining",
            "FlavaImageCodebook",
            "FlavaImageModel",
            "FlavaModel",
            "FlavaMultimodalModel",
            "FlavaPreTrainedModel",
            "FlavaTextModel",
        ]
    )
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    _import_structure["models.fnet"].extend(
        [
            "FNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FNetForMaskedLM",
            "FNetForMultipleChoice",
            "FNetForNextSentencePrediction",
            "FNetForPreTraining",
            "FNetForQuestionAnswering",
            "FNetForSequenceClassification",
            "FNetForTokenClassification",
            "FNetLayer",
            "FNetModel",
            "FNetPreTrainedModel",
        ]
    )
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    _import_structure["models.focalnet"].extend(
        [
            "FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "FocalNetBackbone",
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            "FocalNetForImageClassification",
            "FocalNetForMaskedImageModeling",
            "FocalNetModel",
            "FocalNetPreTrainedModel",
        ]
    )
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    _import_structure["models.fsmt"].extend(["FSMTForConditionalGeneration", "FSMTModel", "PretrainedFSMTModel"])
    _import_structure["models.funnel"].extend(
        [
            "FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FunnelBaseModel",
            "FunnelForMaskedLM",
            "FunnelForMultipleChoice",
            "FunnelForPreTraining",
            "FunnelForQuestionAnswering",
            "FunnelForSequenceClassification",
            "FunnelForTokenClassification",
            "FunnelModel",
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            "FunnelPreTrainedModel",
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            "load_tf_weights_in_funnel",
        ]
    )
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    _import_structure["models.git"].extend(
        [
            "GIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GitForCausalLM",
            "GitModel",
            "GitPreTrainedModel",
            "GitVisionModel",
        ]
    )
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    _import_structure["models.glpn"].extend(
        [
            "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GLPNForDepthEstimation",
            "GLPNModel",
            "GLPNPreTrainedModel",
        ]
    )
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    _import_structure["models.gpt2"].extend(
        [
            "GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPT2DoubleHeadsModel",
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            "GPT2ForQuestionAnswering",
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            "GPT2ForSequenceClassification",
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            "GPT2ForTokenClassification",
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            "GPT2LMHeadModel",
            "GPT2Model",
            "GPT2PreTrainedModel",
            "load_tf_weights_in_gpt2",
        ]
    )
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    _import_structure["models.gpt_bigcode"].extend(
        [
            "GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTBigCodeForCausalLM",
            "GPTBigCodeForSequenceClassification",
            "GPTBigCodeForTokenClassification",
            "GPTBigCodeModel",
            "GPTBigCodePreTrainedModel",
        ]
    )
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    _import_structure["models.gpt_neo"].extend(
        [
            "GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoForCausalLM",
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            "GPTNeoForQuestionAnswering",
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            "GPTNeoForSequenceClassification",
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            "GPTNeoForTokenClassification",
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            "GPTNeoModel",
            "GPTNeoPreTrainedModel",
            "load_tf_weights_in_gpt_neo",
        ]
    )
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    _import_structure["models.gpt_neox"].extend(
        [
            "GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoXForCausalLM",
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            "GPTNeoXForQuestionAnswering",
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            "GPTNeoXForSequenceClassification",
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            "GPTNeoXForTokenClassification",
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            "GPTNeoXLayer",
            "GPTNeoXModel",
            "GPTNeoXPreTrainedModel",
        ]
    )
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    _import_structure["models.gpt_neox_japanese"].extend(
        [
            "GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoXJapaneseForCausalLM",
            "GPTNeoXJapaneseLayer",
            "GPTNeoXJapaneseModel",
            "GPTNeoXJapanesePreTrainedModel",
        ]
    )
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    _import_structure["models.gptj"].extend(
        [
            "GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTJForCausalLM",
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            "GPTJForQuestionAnswering",
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            "GPTJForSequenceClassification",
            "GPTJModel",
            "GPTJPreTrainedModel",
        ]
    )
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    _import_structure["models.gptsan_japanese"].extend(
        [
            "GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTSanJapaneseForConditionalGeneration",
            "GPTSanJapaneseModel",
            "GPTSanJapanesePreTrainedModel",
        ]
    )
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    _import_structure["models.graphormer"].extend(
        [
            "GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GraphormerForGraphClassification",
            "GraphormerModel",
            "GraphormerPreTrainedModel",
        ]
    )
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    _import_structure["models.groupvit"].extend(
        [
            "GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GroupViTModel",
            "GroupViTPreTrainedModel",
            "GroupViTTextModel",
            "GroupViTVisionModel",
        ]
    )
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    _import_structure["models.hubert"].extend(
        [
            "HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "HubertForCTC",
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            "HubertForSequenceClassification",
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            "HubertModel",
            "HubertPreTrainedModel",
        ]
    )
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    _import_structure["models.ibert"].extend(
        [
            "IBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "IBertForMaskedLM",
            "IBertForMultipleChoice",
            "IBertForQuestionAnswering",
            "IBertForSequenceClassification",
            "IBertForTokenClassification",
            "IBertModel",
            "IBertPreTrainedModel",
        ]
    )
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    _import_structure["models.imagegpt"].extend(
        [
            "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ImageGPTForCausalImageModeling",
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            "ImageGPTForImageClassification",
            "ImageGPTModel",
            "ImageGPTPreTrainedModel",
            "load_tf_weights_in_imagegpt",
        ]
    )
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    _import_structure["models.informer"].extend(
        [
            "INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "InformerForPrediction",
            "InformerModel",
            "InformerPreTrainedModel",
        ]
    )
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    _import_structure["models.instructblip"].extend(
        [
            "INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "InstructBlipForConditionalGeneration",
            "InstructBlipPreTrainedModel",
            "InstructBlipQFormerModel",
            "InstructBlipVisionModel",
        ]
    )
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    _import_structure["models.jukebox"].extend(
        [
            "JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST",
            "JukeboxModel",
            "JukeboxPreTrainedModel",
            "JukeboxPrior",
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            "JukeboxVQVAE",
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        ]
    )
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    _import_structure["models.layoutlm"].extend(
        [
            "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMForMaskedLM",
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            "LayoutLMForQuestionAnswering",
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            "LayoutLMForSequenceClassification",
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            "LayoutLMForTokenClassification",
            "LayoutLMModel",
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            "LayoutLMPreTrainedModel",
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        ]
    )
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    _import_structure["models.layoutlmv2"].extend(
        [
            "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv2ForQuestionAnswering",
            "LayoutLMv2ForSequenceClassification",
            "LayoutLMv2ForTokenClassification",
            "LayoutLMv2Model",
            "LayoutLMv2PreTrainedModel",
        ]
    )
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    _import_structure["models.layoutlmv3"].extend(
        [
            "LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv3ForQuestionAnswering",
            "LayoutLMv3ForSequenceClassification",
            "LayoutLMv3ForTokenClassification",
            "LayoutLMv3Model",
            "LayoutLMv3PreTrainedModel",
        ]
    )
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    _import_structure["models.led"].extend(
        [
            "LED_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LEDForConditionalGeneration",
            "LEDForQuestionAnswering",
            "LEDForSequenceClassification",
            "LEDModel",
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            "LEDPreTrainedModel",
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        ]
    )
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    _import_structure["models.levit"].extend(
        [
            "LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LevitForImageClassification",
            "LevitForImageClassificationWithTeacher",
            "LevitModel",
            "LevitPreTrainedModel",
        ]
    )
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    _import_structure["models.lilt"].extend(
        [
            "LILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LiltForQuestionAnswering",
            "LiltForSequenceClassification",
            "LiltForTokenClassification",
            "LiltModel",
            "LiltPreTrainedModel",
        ]
    )
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    _import_structure["models.llama"].extend(
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        ["LlamaForCausalLM", "LlamaForSequenceClassification", "LlamaModel", "LlamaPreTrainedModel"]
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    )
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    _import_structure["models.longformer"].extend(
        [
            "LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongformerForMaskedLM",
            "LongformerForMultipleChoice",
            "LongformerForQuestionAnswering",
            "LongformerForSequenceClassification",
            "LongformerForTokenClassification",
            "LongformerModel",
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            "LongformerPreTrainedModel",
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            "LongformerSelfAttention",
        ]
    )
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    _import_structure["models.longt5"].extend(
        [
            "LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongT5EncoderModel",
            "LongT5ForConditionalGeneration",
            "LongT5Model",
            "LongT5PreTrainedModel",
        ]
    )
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    _import_structure["models.luke"].extend(
        [
            "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LukeForEntityClassification",
            "LukeForEntityPairClassification",
            "LukeForEntitySpanClassification",
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            "LukeForMaskedLM",
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            "LukeForMultipleChoice",
            "LukeForQuestionAnswering",
            "LukeForSequenceClassification",
            "LukeForTokenClassification",
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            "LukeModel",
            "LukePreTrainedModel",
        ]
    )
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    _import_structure["models.lxmert"].extend(
        [
            "LxmertEncoder",
            "LxmertForPreTraining",
            "LxmertForQuestionAnswering",
            "LxmertModel",
            "LxmertPreTrainedModel",
            "LxmertVisualFeatureEncoder",
            "LxmertXLayer",
        ]
    )
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    _import_structure["models.m2m_100"].extend(
        [
            "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
            "M2M100ForConditionalGeneration",
            "M2M100Model",
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            "M2M100PreTrainedModel",
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        ]
    )
    _import_structure["models.marian"].extend(["MarianForCausalLM", "MarianModel", "MarianMTModel"])
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    _import_structure["models.markuplm"].extend(
        [
            "MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MarkupLMForQuestionAnswering",
            "MarkupLMForSequenceClassification",
            "MarkupLMForTokenClassification",
            "MarkupLMModel",
            "MarkupLMPreTrainedModel",
        ]
    )
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    _import_structure["models.mask2former"].extend(
        [
            "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Mask2FormerForUniversalSegmentation",
            "Mask2FormerModel",
            "Mask2FormerPreTrainedModel",
        ]
    )
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    _import_structure["models.maskformer"].extend(
        [
            "MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MaskFormerForInstanceSegmentation",
            "MaskFormerModel",
            "MaskFormerPreTrainedModel",
            "MaskFormerSwinBackbone",
        ]
    )
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    _import_structure["models.mbart"].extend(
        [
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            "MBartForCausalLM",
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            "MBartForConditionalGeneration",
            "MBartForQuestionAnswering",
            "MBartForSequenceClassification",
            "MBartModel",
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            "MBartPreTrainedModel",
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        ]
    )
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    _import_structure["models.mctct"].extend(
        [
            "MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MCTCTForCTC",
            "MCTCTModel",
            "MCTCTPreTrainedModel",
        ]
    )
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    _import_structure["models.mega"].extend(
        [
            "MEGA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MegaForCausalLM",
            "MegaForMaskedLM",
            "MegaForMultipleChoice",
            "MegaForQuestionAnswering",
            "MegaForSequenceClassification",
            "MegaForTokenClassification",
            "MegaModel",
            "MegaPreTrainedModel",
        ]
    )
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    _import_structure["models.megatron_bert"].extend(
        [
            "MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MegatronBertForCausalLM",
            "MegatronBertForMaskedLM",
            "MegatronBertForMultipleChoice",
            "MegatronBertForNextSentencePrediction",
            "MegatronBertForPreTraining",
            "MegatronBertForQuestionAnswering",
            "MegatronBertForSequenceClassification",
            "MegatronBertForTokenClassification",
            "MegatronBertModel",
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            "MegatronBertPreTrainedModel",
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        ]
    )
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    _import_structure["models.mgp_str"].extend(
        [
            "MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MgpstrForSceneTextRecognition",
            "MgpstrModel",
            "MgpstrPreTrainedModel",
        ]
    )
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    _import_structure["models.mmbt"].extend(["MMBTForClassification", "MMBTModel", "ModalEmbeddings"])
    _import_structure["models.mobilebert"].extend(
        [
            "MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileBertForMaskedLM",
            "MobileBertForMultipleChoice",
            "MobileBertForNextSentencePrediction",
            "MobileBertForPreTraining",
            "MobileBertForQuestionAnswering",
            "MobileBertForSequenceClassification",
            "MobileBertForTokenClassification",
            "MobileBertLayer",
            "MobileBertModel",
            "MobileBertPreTrainedModel",
            "load_tf_weights_in_mobilebert",
        ]
    )
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    _import_structure["models.mobilenet_v1"].extend(
        [
            "MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileNetV1ForImageClassification",
            "MobileNetV1Model",
            "MobileNetV1PreTrainedModel",
            "load_tf_weights_in_mobilenet_v1",
        ]
    )
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    _import_structure["models.mobilenet_v2"].extend(
        [
            "MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileNetV2ForImageClassification",
            "MobileNetV2ForSemanticSegmentation",
            "MobileNetV2Model",
            "MobileNetV2PreTrainedModel",
            "load_tf_weights_in_mobilenet_v2",
        ]
    )
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    _import_structure["models.mobilevit"].extend(
        [
            "MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileViTForImageClassification",
            "MobileViTForSemanticSegmentation",
            "MobileViTModel",
            "MobileViTPreTrainedModel",
        ]
    )
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    _import_structure["models.mobilevitv2"].extend(
        [
            "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileViTV2ForImageClassification",
            "MobileViTV2ForSemanticSegmentation",
            "MobileViTV2Model",
            "MobileViTV2PreTrainedModel",
        ]
    )
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    _import_structure["models.mpnet"].extend(
        [
            "MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MPNetForMaskedLM",
            "MPNetForMultipleChoice",
            "MPNetForQuestionAnswering",
            "MPNetForSequenceClassification",
            "MPNetForTokenClassification",
            "MPNetLayer",
            "MPNetModel",
            "MPNetPreTrainedModel",
        ]
    )
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    _import_structure["models.mt5"].extend(
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        ["MT5EncoderModel", "MT5ForConditionalGeneration", "MT5ForQuestionAnswering", "MT5Model", "MT5PreTrainedModel"]
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    )
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    _import_structure["models.musicgen"].extend(
        [
            "MUSICGEN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MusicgenForCausalLM",
            "MusicgenForConditionalGeneration",
            "MusicgenModel",
            "MusicgenPreTrainedModel",
            "MusicgenProcessor",
        ]
    )
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    _import_structure["models.mvp"].extend(
        [
            "MVP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MvpForCausalLM",
            "MvpForConditionalGeneration",
            "MvpForQuestionAnswering",
            "MvpForSequenceClassification",
            "MvpModel",
            "MvpPreTrainedModel",
        ]
    )
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    _import_structure["models.nat"].extend(
        [
            "NAT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "NatBackbone",
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            "NatForImageClassification",
            "NatModel",
            "NatPreTrainedModel",
        ]
    )
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    _import_structure["models.nezha"].extend(
        [
            "NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NezhaForMaskedLM",
            "NezhaForMultipleChoice",
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            "NezhaForPreTraining",
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            "NezhaForQuestionAnswering",
            "NezhaForSequenceClassification",
            "NezhaForTokenClassification",
            "NezhaModel",
            "NezhaPreTrainedModel",
        ]
    )
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    _import_structure["models.nllb_moe"].extend(
        [
            "NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NllbMoeForConditionalGeneration",
            "NllbMoeModel",
            "NllbMoePreTrainedModel",
            "NllbMoeSparseMLP",
            "NllbMoeTop2Router",
        ]
    )
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    _import_structure["models.nystromformer"].extend(
        [
            "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NystromformerForMaskedLM",
            "NystromformerForMultipleChoice",
            "NystromformerForQuestionAnswering",
            "NystromformerForSequenceClassification",
            "NystromformerForTokenClassification",
            "NystromformerLayer",
            "NystromformerModel",
            "NystromformerPreTrainedModel",
        ]
    )
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    _import_structure["models.oneformer"].extend(
        [
            "ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OneFormerForUniversalSegmentation",
            "OneFormerModel",
            "OneFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.open_llama"].extend(
        ["OpenLlamaForCausalLM", "OpenLlamaForSequenceClassification", "OpenLlamaModel", "OpenLlamaPreTrainedModel"]
    )
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    _import_structure["models.openai"].extend(
        [
            "OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OpenAIGPTDoubleHeadsModel",
            "OpenAIGPTForSequenceClassification",
            "OpenAIGPTLMHeadModel",
            "OpenAIGPTModel",
            "OpenAIGPTPreTrainedModel",
            "load_tf_weights_in_openai_gpt",
        ]
    )
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    _import_structure["models.opt"].extend(
        [
            "OPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OPTForCausalLM",
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            "OPTForQuestionAnswering",
            "OPTForSequenceClassification",
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            "OPTModel",
            "OPTPreTrainedModel",
        ]
    )
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    _import_structure["models.owlvit"].extend(
        [
            "OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "OwlViTForObjectDetection",
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            "OwlViTModel",
            "OwlViTPreTrainedModel",
            "OwlViTTextModel",
            "OwlViTVisionModel",
        ]
    )
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    _import_structure["models.pegasus"].extend(
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        ["PegasusForCausalLM", "PegasusForConditionalGeneration", "PegasusModel", "PegasusPreTrainedModel"]
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    )
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    _import_structure["models.pegasus_x"].extend(
        [
            "PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PegasusXForConditionalGeneration",
            "PegasusXModel",
            "PegasusXPreTrainedModel",
        ]
    )
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    _import_structure["models.perceiver"].extend(
        [
            "PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PerceiverForImageClassificationConvProcessing",
            "PerceiverForImageClassificationFourier",
            "PerceiverForImageClassificationLearned",
            "PerceiverForMaskedLM",
            "PerceiverForMultimodalAutoencoding",
            "PerceiverForOpticalFlow",
            "PerceiverForSequenceClassification",
            "PerceiverLayer",
            "PerceiverModel",
            "PerceiverPreTrainedModel",
        ]
    )
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    _import_structure["models.pix2struct"].extend(
        [
            "PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Pix2StructForConditionalGeneration",
            "Pix2StructPreTrainedModel",
            "Pix2StructTextModel",
            "Pix2StructVisionModel",
        ]
    )
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    _import_structure["models.plbart"].extend(
        [
            "PLBART_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PLBartForCausalLM",
            "PLBartForConditionalGeneration",
            "PLBartForSequenceClassification",
            "PLBartModel",
            "PLBartPreTrainedModel",
        ]
    )
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    _import_structure["models.poolformer"].extend(
        [
            "POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PoolFormerForImageClassification",
            "PoolFormerModel",
            "PoolFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.prophetnet"].extend(
        [
            "PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ProphetNetDecoder",
            "ProphetNetEncoder",
            "ProphetNetForCausalLM",
            "ProphetNetForConditionalGeneration",
            "ProphetNetModel",
            "ProphetNetPreTrainedModel",
        ]
    )
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    _import_structure["models.qdqbert"].extend(
        [
            "QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "QDQBertForMaskedLM",
            "QDQBertForMultipleChoice",
            "QDQBertForNextSentencePrediction",
            "QDQBertForQuestionAnswering",
            "QDQBertForSequenceClassification",
            "QDQBertForTokenClassification",
            "QDQBertLayer",
            "QDQBertLMHeadModel",
            "QDQBertModel",
            "QDQBertPreTrainedModel",
            "load_tf_weights_in_qdqbert",
        ]
    )
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    _import_structure["models.rag"].extend(
        ["RagModel", "RagPreTrainedModel", "RagSequenceForGeneration", "RagTokenForGeneration"]
    )
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    _import_structure["models.realm"].extend(
        [
            "REALM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RealmEmbedder",
            "RealmForOpenQA",
            "RealmKnowledgeAugEncoder",
            "RealmPreTrainedModel",
            "RealmReader",
            "RealmRetriever",
            "RealmScorer",
            "load_tf_weights_in_realm",
        ]
    )
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    _import_structure["models.reformer"].extend(
        [
            "REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ReformerAttention",
            "ReformerForMaskedLM",
            "ReformerForQuestionAnswering",
            "ReformerForSequenceClassification",
            "ReformerLayer",
            "ReformerModel",
            "ReformerModelWithLMHead",
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            "ReformerPreTrainedModel",
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        ]
    )
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    _import_structure["models.regnet"].extend(
        [
            "REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RegNetForImageClassification",
            "RegNetModel",
            "RegNetPreTrainedModel",
        ]
    )
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    _import_structure["models.rembert"].extend(
        [
            "REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RemBertForCausalLM",
            "RemBertForMaskedLM",
            "RemBertForMultipleChoice",
            "RemBertForQuestionAnswering",
            "RemBertForSequenceClassification",
            "RemBertForTokenClassification",
            "RemBertLayer",
            "RemBertModel",
            "RemBertPreTrainedModel",
            "load_tf_weights_in_rembert",
        ]
    )
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    _import_structure["models.resnet"].extend(
        [
            "RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ResNetBackbone",
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            "ResNetForImageClassification",
            "ResNetModel",
            "ResNetPreTrainedModel",
        ]
    )
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    _import_structure["models.retribert"].extend(
        ["RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST", "RetriBertModel", "RetriBertPreTrainedModel"]
    )
    _import_structure["models.roberta"].extend(
        [
            "ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RobertaForCausalLM",
            "RobertaForMaskedLM",
            "RobertaForMultipleChoice",
            "RobertaForQuestionAnswering",
            "RobertaForSequenceClassification",
            "RobertaForTokenClassification",
            "RobertaModel",
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            "RobertaPreTrainedModel",
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        ]
    )
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    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RobertaPreLayerNormForCausalLM",
            "RobertaPreLayerNormForMaskedLM",
            "RobertaPreLayerNormForMultipleChoice",
            "RobertaPreLayerNormForQuestionAnswering",
            "RobertaPreLayerNormForSequenceClassification",
            "RobertaPreLayerNormForTokenClassification",
            "RobertaPreLayerNormModel",
            "RobertaPreLayerNormPreTrainedModel",
        ]
    )
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    _import_structure["models.roc_bert"].extend(
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        [
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            "ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RoCBertForCausalLM",
            "RoCBertForMaskedLM",
            "RoCBertForMultipleChoice",
            "RoCBertForPreTraining",
            "RoCBertForQuestionAnswering",
            "RoCBertForSequenceClassification",
            "RoCBertForTokenClassification",
            "RoCBertLayer",
            "RoCBertModel",
            "RoCBertPreTrainedModel",
            "load_tf_weights_in_roc_bert",
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        ]
    )
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    _import_structure["models.roformer"].extend(
        [
            "ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RoFormerForCausalLM",
            "RoFormerForMaskedLM",
            "RoFormerForMultipleChoice",
            "RoFormerForQuestionAnswering",
            "RoFormerForSequenceClassification",
            "RoFormerForTokenClassification",
            "RoFormerLayer",
            "RoFormerModel",
            "RoFormerPreTrainedModel",
            "load_tf_weights_in_roformer",
        ]
    )
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    _import_structure["models.rwkv"].extend(
        [
            "RWKV_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RwkvForCausalLM",
            "RwkvModel",
            "RwkvPreTrainedModel",
        ]
    )
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    _import_structure["models.sam"].extend(
        [
            "SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SamModel",
            "SamPreTrainedModel",
        ]
    )
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    _import_structure["models.segformer"].extend(
        [
            "SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SegformerDecodeHead",
            "SegformerForImageClassification",
            "SegformerForSemanticSegmentation",
            "SegformerLayer",
            "SegformerModel",
            "SegformerPreTrainedModel",
        ]
    )
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    _import_structure["models.sew"].extend(
        [
            "SEW_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWForCTC",
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            "SEWForSequenceClassification",
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            "SEWModel",
            "SEWPreTrainedModel",
        ]
    )
    _import_structure["models.sew_d"].extend(
        [
            "SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWDForCTC",
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            "SEWDForSequenceClassification",
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            "SEWDModel",
            "SEWDPreTrainedModel",
        ]
    )
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    _import_structure["models.speech_encoder_decoder"].extend(["SpeechEncoderDecoderModel"])
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    _import_structure["models.speech_to_text"].extend(
        [
            "SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Speech2TextForConditionalGeneration",
            "Speech2TextModel",
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            "Speech2TextPreTrainedModel",
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        ]
    )
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    _import_structure["models.speech_to_text_2"].extend(["Speech2Text2ForCausalLM", "Speech2Text2PreTrainedModel"])
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    _import_structure["models.speecht5"].extend(
        [
            "SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SpeechT5ForSpeechToSpeech",
            "SpeechT5ForSpeechToText",
            "SpeechT5ForTextToSpeech",
            "SpeechT5HifiGan",
            "SpeechT5Model",
            "SpeechT5PreTrainedModel",
        ]
    )
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    _import_structure["models.splinter"].extend(
        [
            "SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "SplinterForPreTraining",
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            "SplinterForQuestionAnswering",
            "SplinterLayer",
            "SplinterModel",
            "SplinterPreTrainedModel",
        ]
    )
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    _import_structure["models.squeezebert"].extend(
        [
            "SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SqueezeBertForMaskedLM",
            "SqueezeBertForMultipleChoice",
            "SqueezeBertForQuestionAnswering",
            "SqueezeBertForSequenceClassification",
            "SqueezeBertForTokenClassification",
            "SqueezeBertModel",
            "SqueezeBertModule",
            "SqueezeBertPreTrainedModel",
        ]
    )
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    _import_structure["models.swiftformer"].extend(
        [
            "SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SwiftFormerForImageClassification",
            "SwiftFormerModel",
            "SwiftFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.swin"].extend(
        [
            "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "SwinBackbone",
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            "SwinForImageClassification",
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            "SwinForMaskedImageModeling",
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            "SwinModel",
            "SwinPreTrainedModel",
        ]
    )
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    _import_structure["models.swin2sr"].extend(
        [
            "SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Swin2SRForImageSuperResolution",
            "Swin2SRModel",
            "Swin2SRPreTrainedModel",
        ]
    )
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    _import_structure["models.swinv2"].extend(
        [
            "SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Swinv2ForImageClassification",
            "Swinv2ForMaskedImageModeling",
            "Swinv2Model",
            "Swinv2PreTrainedModel",
        ]
    )
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    _import_structure["models.switch_transformers"].extend(
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        [
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            "SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SwitchTransformersEncoderModel",
            "SwitchTransformersForConditionalGeneration",
            "SwitchTransformersModel",
            "SwitchTransformersPreTrainedModel",
            "SwitchTransformersSparseMLP",
            "SwitchTransformersTop1Router",
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        ]
    )
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    _import_structure["models.t5"].extend(
        [
            "T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "T5EncoderModel",
            "T5ForConditionalGeneration",
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            "T5ForQuestionAnswering",
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            "T5Model",
            "T5PreTrainedModel",
            "load_tf_weights_in_t5",
        ]
    )
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    _import_structure["models.table_transformer"].extend(
        [
            "TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TableTransformerForObjectDetection",
            "TableTransformerModel",
            "TableTransformerPreTrainedModel",
        ]
    )
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    _import_structure["models.tapas"].extend(
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        [
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            "TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TapasForMaskedLM",
            "TapasForQuestionAnswering",
            "TapasForSequenceClassification",
            "TapasModel",
            "TapasPreTrainedModel",
            "load_tf_weights_in_tapas",
        ]
    )
    _import_structure["models.time_series_transformer"].extend(
        [
            "TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TimeSeriesTransformerForPrediction",
            "TimeSeriesTransformerModel",
            "TimeSeriesTransformerPreTrainedModel",
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        ]
    )
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    _import_structure["models.timesformer"].extend(
        [
            "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TimesformerForVideoClassification",
            "TimesformerModel",
            "TimesformerPreTrainedModel",
        ]
    )
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    _import_structure["models.timm_backbone"].extend(["TimmBackbone"])
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    _import_structure["models.trajectory_transformer"].extend(
        [
            "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TrajectoryTransformerModel",
            "TrajectoryTransformerPreTrainedModel",
        ]
    )
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    _import_structure["models.transfo_xl"].extend(
        [
            "TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AdaptiveEmbedding",
            "TransfoXLForSequenceClassification",
            "TransfoXLLMHeadModel",
            "TransfoXLModel",
            "TransfoXLPreTrainedModel",
            "load_tf_weights_in_transfo_xl",
        ]
    )
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    _import_structure["models.trocr"].extend(
        ["TROCR_PRETRAINED_MODEL_ARCHIVE_LIST", "TrOCRForCausalLM", "TrOCRPreTrainedModel"]
    )
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    _import_structure["models.tvlt"].extend(
        [
            "TVLT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TvltForAudioVisualClassification",
            "TvltForPreTraining",
            "TvltModel",
            "TvltPreTrainedModel",
        ]
    )
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    _import_structure["models.umt5"].extend(
        [
            "UMT5EncoderModel",
            "UMT5ForConditionalGeneration",
            "UMT5ForQuestionAnswering",
            "UMT5Model",
            "UMT5PreTrainedModel",
        ]
    )
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    _import_structure["models.unispeech"].extend(
        [
            "UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST",
            "UniSpeechForCTC",
            "UniSpeechForPreTraining",
            "UniSpeechForSequenceClassification",
            "UniSpeechModel",
            "UniSpeechPreTrainedModel",
        ]
    )
    _import_structure["models.unispeech_sat"].extend(
        [
            "UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "UniSpeechSatForAudioFrameClassification",
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            "UniSpeechSatForCTC",
            "UniSpeechSatForPreTraining",
            "UniSpeechSatForSequenceClassification",
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            "UniSpeechSatForXVector",
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            "UniSpeechSatModel",
            "UniSpeechSatPreTrainedModel",
        ]
    )
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    _import_structure["models.upernet"].extend(
        [
            "UperNetForSemanticSegmentation",
            "UperNetPreTrainedModel",
        ]
    )
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    _import_structure["models.van"].extend(
        [
            "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VanForImageClassification",
            "VanModel",
            "VanPreTrainedModel",
        ]
    )
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    _import_structure["models.videomae"].extend(
        [
            "VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VideoMAEForPreTraining",
            "VideoMAEForVideoClassification",
            "VideoMAEModel",
            "VideoMAEPreTrainedModel",
        ]
    )
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    _import_structure["models.vilt"].extend(
        [
            "VILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViltForImageAndTextRetrieval",
            "ViltForImagesAndTextClassification",
            "ViltForMaskedLM",
            "ViltForQuestionAnswering",
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            "ViltForTokenClassification",
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            "ViltLayer",
            "ViltModel",
            "ViltPreTrainedModel",
        ]
    )
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    _import_structure["models.vision_encoder_decoder"].extend(["VisionEncoderDecoderModel"])
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    _import_structure["models.vision_text_dual_encoder"].extend(["VisionTextDualEncoderModel"])
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    _import_structure["models.visual_bert"].extend(
        [
            "VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VisualBertForMultipleChoice",
            "VisualBertForPreTraining",
            "VisualBertForQuestionAnswering",
            "VisualBertForRegionToPhraseAlignment",
            "VisualBertForVisualReasoning",
            "VisualBertLayer",
            "VisualBertModel",
            "VisualBertPreTrainedModel",
        ]
    )
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    _import_structure["models.vit"].extend(
        [
            "VIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTForImageClassification",
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            "ViTForMaskedImageModeling",
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            "ViTModel",
            "ViTPreTrainedModel",
        ]
    )
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    _import_structure["models.vit_hybrid"].extend(
        [
            "VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTHybridForImageClassification",
            "ViTHybridModel",
            "ViTHybridPreTrainedModel",
        ]
    )
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    _import_structure["models.vit_mae"].extend(
        [
            "VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMAEForPreTraining",
            "ViTMAELayer",
            "ViTMAEModel",
            "ViTMAEPreTrainedModel",
        ]
    )
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    _import_structure["models.vit_msn"].extend(
        [
            "VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMSNForImageClassification",
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            "ViTMSNModel",
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            "ViTMSNPreTrainedModel",
        ]
    )
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    _import_structure["models.wav2vec2"].extend(
        [
            "WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "Wav2Vec2ForAudioFrameClassification",
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            "Wav2Vec2ForCTC",
            "Wav2Vec2ForMaskedLM",
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            "Wav2Vec2ForPreTraining",
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            "Wav2Vec2ForSequenceClassification",
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            "Wav2Vec2ForXVector",
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            "Wav2Vec2Model",
            "Wav2Vec2PreTrainedModel",
        ]
    )
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    _import_structure["models.wav2vec2_conformer"].extend(
        [
            "WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Wav2Vec2ConformerForAudioFrameClassification",
            "Wav2Vec2ConformerForCTC",
            "Wav2Vec2ConformerForPreTraining",
            "Wav2Vec2ConformerForSequenceClassification",
            "Wav2Vec2ConformerForXVector",
            "Wav2Vec2ConformerModel",
            "Wav2Vec2ConformerPreTrainedModel",
        ]
    )
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    _import_structure["models.wavlm"].extend(
        [
            "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "WavLMForAudioFrameClassification",
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            "WavLMForCTC",
            "WavLMForSequenceClassification",
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            "WavLMForXVector",
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            "WavLMModel",
            "WavLMPreTrainedModel",
        ]
    )
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    _import_structure["models.whisper"].extend(
        [
            "WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "WhisperForAudioClassification",
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            "WhisperForConditionalGeneration",
            "WhisperModel",
            "WhisperPreTrainedModel",
        ]
    )
    _import_structure["models.x_clip"].extend(
        [
            "XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XCLIPModel",
            "XCLIPPreTrainedModel",
            "XCLIPTextModel",
            "XCLIPVisionModel",
        ]
    )
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    _import_structure["models.xglm"].extend(
        [
            "XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XGLMForCausalLM",
            "XGLMModel",
            "XGLMPreTrainedModel",
        ]
    )
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    _import_structure["models.xlm"].extend(
        [
            "XLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMForMultipleChoice",
            "XLMForQuestionAnswering",
            "XLMForQuestionAnsweringSimple",
            "XLMForSequenceClassification",
            "XLMForTokenClassification",
            "XLMModel",
            "XLMPreTrainedModel",
            "XLMWithLMHeadModel",
        ]
    )
    _import_structure["models.xlm_prophetnet"].extend(
        [
            "XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMProphetNetDecoder",
            "XLMProphetNetEncoder",
            "XLMProphetNetForCausalLM",
            "XLMProphetNetForConditionalGeneration",
            "XLMProphetNetModel",
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            "XLMProphetNetPreTrainedModel",
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        ]
    )
    _import_structure["models.xlm_roberta"].extend(
        [
            "XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaForCausalLM",
            "XLMRobertaForMaskedLM",
            "XLMRobertaForMultipleChoice",
            "XLMRobertaForQuestionAnswering",
            "XLMRobertaForSequenceClassification",
            "XLMRobertaForTokenClassification",
            "XLMRobertaModel",
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            "XLMRobertaPreTrainedModel",
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        ]
    )
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    _import_structure["models.xlm_roberta_xl"].extend(
        [
            "XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaXLForCausalLM",
            "XLMRobertaXLForMaskedLM",
            "XLMRobertaXLForMultipleChoice",
            "XLMRobertaXLForQuestionAnswering",
            "XLMRobertaXLForSequenceClassification",
            "XLMRobertaXLForTokenClassification",
            "XLMRobertaXLModel",
            "XLMRobertaXLPreTrainedModel",
        ]
    )
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    _import_structure["models.xlnet"].extend(
        [
            "XLNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLNetForMultipleChoice",
            "XLNetForQuestionAnswering",
            "XLNetForQuestionAnsweringSimple",
            "XLNetForSequenceClassification",
            "XLNetForTokenClassification",
            "XLNetLMHeadModel",
            "XLNetModel",
            "XLNetPreTrainedModel",
            "load_tf_weights_in_xlnet",
        ]
    )
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    _import_structure["models.xmod"].extend(
        [
            "XMOD_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XmodForCausalLM",
            "XmodForMaskedLM",
            "XmodForMultipleChoice",
            "XmodForQuestionAnswering",
            "XmodForSequenceClassification",
            "XmodForTokenClassification",
            "XmodModel",
            "XmodPreTrainedModel",
        ]
    )
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    _import_structure["models.yolos"].extend(
        [
            "YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YolosForObjectDetection",
            "YolosModel",
            "YolosPreTrainedModel",
        ]
    )
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    _import_structure["models.yoso"].extend(
        [
            "YOSO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YosoForMaskedLM",
            "YosoForMultipleChoice",
            "YosoForQuestionAnswering",
            "YosoForSequenceClassification",
            "YosoForTokenClassification",
            "YosoLayer",
            "YosoModel",
            "YosoPreTrainedModel",
        ]
    )
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    _import_structure["optimization"] = [
        "Adafactor",
        "AdamW",
        "get_constant_schedule",
        "get_constant_schedule_with_warmup",
        "get_cosine_schedule_with_warmup",
        "get_cosine_with_hard_restarts_schedule_with_warmup",
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        "get_inverse_sqrt_schedule",
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        "get_linear_schedule_with_warmup",
        "get_polynomial_decay_schedule_with_warmup",
        "get_scheduler",
    ]
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    _import_structure["pytorch_utils"] = ["Conv1D", "apply_chunking_to_forward", "prune_layer"]
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    _import_structure["sagemaker"] = []
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    _import_structure["time_series_utils"] = []
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    _import_structure["trainer"] = ["Trainer"]
    _import_structure["trainer_pt_utils"] = ["torch_distributed_zero_first"]
    _import_structure["trainer_seq2seq"] = ["Seq2SeqTrainer"]

# TensorFlow-backed objects
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try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_tf_objects

    _import_structure["utils.dummy_tf_objects"] = [name for name in dir(dummy_tf_objects) if not name.startswith("_")]
else:
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    _import_structure["activations_tf"] = []
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    _import_structure["benchmark.benchmark_args_tf"] = ["TensorFlowBenchmarkArguments"]
    _import_structure["benchmark.benchmark_tf"] = ["TensorFlowBenchmark"]
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    _import_structure["generation"].extend(
        [
            "TFForcedBOSTokenLogitsProcessor",
            "TFForcedEOSTokenLogitsProcessor",
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            "TFGenerationMixin",
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            "TFLogitsProcessor",
            "TFLogitsProcessorList",
            "TFLogitsWarper",
            "TFMinLengthLogitsProcessor",
            "TFNoBadWordsLogitsProcessor",
            "TFNoRepeatNGramLogitsProcessor",
            "TFRepetitionPenaltyLogitsProcessor",
            "TFTemperatureLogitsWarper",
            "TFTopKLogitsWarper",
            "TFTopPLogitsWarper",
            "tf_top_k_top_p_filtering",
        ]
    )
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    _import_structure["generation_tf_utils"] = []
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    _import_structure["keras_callbacks"] = ["KerasMetricCallback", "PushToHubCallback"]
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    _import_structure["modeling_tf_outputs"] = []
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    _import_structure["modeling_tf_utils"] = [
        "TFPreTrainedModel",
        "TFSequenceSummary",
        "TFSharedEmbeddings",
        "shape_list",
    ]
    # TensorFlow models structure
    _import_structure["models.albert"].extend(
        [
            "TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFAlbertForMaskedLM",
            "TFAlbertForMultipleChoice",
            "TFAlbertForPreTraining",
            "TFAlbertForQuestionAnswering",
            "TFAlbertForSequenceClassification",
            "TFAlbertForTokenClassification",
            "TFAlbertMainLayer",
            "TFAlbertModel",
            "TFAlbertPreTrainedModel",
        ]
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    )
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    _import_structure["models.auto"].extend(
        [
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            "TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING",
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            "TF_MODEL_FOR_CAUSAL_LM_MAPPING",
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            "TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
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            "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
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            "TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
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            "TF_MODEL_FOR_MASKED_LM_MAPPING",
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            "TF_MODEL_FOR_MASK_GENERATION_MAPPING",
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            "TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
            "TF_MODEL_FOR_PRETRAINING_MAPPING",
            "TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING",
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            "TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
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            "TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
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            "TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
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            "TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
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            "TF_MODEL_FOR_TEXT_ENCODING_MAPPING",
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            "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
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            "TF_MODEL_FOR_VISION_2_SEQ_MAPPING",
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            "TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING",
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            "TF_MODEL_MAPPING",
            "TF_MODEL_WITH_LM_HEAD_MAPPING",
            "TFAutoModel",
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            "TFAutoModelForAudioClassification",
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            "TFAutoModelForCausalLM",
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            "TFAutoModelForDocumentQuestionAnswering",
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            "TFAutoModelForImageClassification",
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            "TFAutoModelForMaskedImageModeling",
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            "TFAutoModelForMaskedLM",
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            "TFAutoModelForMaskGeneration",
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            "TFAutoModelForMultipleChoice",
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            "TFAutoModelForNextSentencePrediction",
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            "TFAutoModelForPreTraining",
            "TFAutoModelForQuestionAnswering",
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            "TFAutoModelForSemanticSegmentation",
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            "TFAutoModelForSeq2SeqLM",
            "TFAutoModelForSequenceClassification",
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            "TFAutoModelForSpeechSeq2Seq",
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            "TFAutoModelForTableQuestionAnswering",
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            "TFAutoModelForTextEncoding",
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            "TFAutoModelForTokenClassification",
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            "TFAutoModelForVision2Seq",
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            "TFAutoModelForZeroShotImageClassification",
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            "TFAutoModelWithLMHead",
        ]
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    )
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    _import_structure["models.bart"].extend(
        ["TFBartForConditionalGeneration", "TFBartForSequenceClassification", "TFBartModel", "TFBartPretrainedModel"]
    )
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    _import_structure["models.bert"].extend(
        [
            "TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFBertEmbeddings",
            "TFBertForMaskedLM",
            "TFBertForMultipleChoice",
            "TFBertForNextSentencePrediction",
            "TFBertForPreTraining",
            "TFBertForQuestionAnswering",
            "TFBertForSequenceClassification",
            "TFBertForTokenClassification",
            "TFBertLMHeadModel",
            "TFBertMainLayer",
            "TFBertModel",
            "TFBertPreTrainedModel",
        ]
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    )
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    _import_structure["models.blenderbot"].extend(
        ["TFBlenderbotForConditionalGeneration", "TFBlenderbotModel", "TFBlenderbotPreTrainedModel"]
    )
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    _import_structure["models.blenderbot_small"].extend(
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        ["TFBlenderbotSmallForConditionalGeneration", "TFBlenderbotSmallModel", "TFBlenderbotSmallPreTrainedModel"]
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    )
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    _import_structure["models.blip"].extend(
        [
            "TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFBlipForConditionalGeneration",
            "TFBlipForImageTextRetrieval",
            "TFBlipForQuestionAnswering",
            "TFBlipModel",
            "TFBlipPreTrainedModel",
            "TFBlipTextModel",
            "TFBlipVisionModel",
        ]
    )
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    _import_structure["models.camembert"].extend(
        [
            "TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "TFCamembertForCausalLM",
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            "TFCamembertForMaskedLM",
            "TFCamembertForMultipleChoice",
            "TFCamembertForQuestionAnswering",
            "TFCamembertForSequenceClassification",
            "TFCamembertForTokenClassification",
            "TFCamembertModel",
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            "TFCamembertPreTrainedModel",
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        ]
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    )
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    _import_structure["models.clip"].extend(
        [
            "TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCLIPModel",
            "TFCLIPPreTrainedModel",
            "TFCLIPTextModel",
            "TFCLIPVisionModel",
        ]
    )
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    _import_structure["models.convbert"].extend(
        [
            "TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFConvBertForMaskedLM",
            "TFConvBertForMultipleChoice",
            "TFConvBertForQuestionAnswering",
            "TFConvBertForSequenceClassification",
            "TFConvBertForTokenClassification",
            "TFConvBertLayer",
            "TFConvBertModel",
            "TFConvBertPreTrainedModel",
        ]
    )
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    _import_structure["models.convnext"].extend(
        [
            "TFConvNextForImageClassification",
            "TFConvNextModel",
            "TFConvNextPreTrainedModel",
        ]
    )
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    _import_structure["models.ctrl"].extend(
        [
            "TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCTRLForSequenceClassification",
            "TFCTRLLMHeadModel",
            "TFCTRLModel",
            "TFCTRLPreTrainedModel",
        ]
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    )
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    _import_structure["models.cvt"].extend(
        [
            "TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCvtForImageClassification",
            "TFCvtModel",
            "TFCvtPreTrainedModel",
        ]
    )
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    _import_structure["models.data2vec"].extend(
        [
            "TFData2VecVisionForImageClassification",
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            "TFData2VecVisionForSemanticSegmentation",
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            "TFData2VecVisionModel",
            "TFData2VecVisionPreTrainedModel",
        ]
    )
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    _import_structure["models.deberta"].extend(
        [
            "TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaForMaskedLM",
            "TFDebertaForQuestionAnswering",
            "TFDebertaForSequenceClassification",
            "TFDebertaForTokenClassification",
            "TFDebertaModel",
            "TFDebertaPreTrainedModel",
        ]
    )
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    _import_structure["models.deberta_v2"].extend(
        [
            "TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaV2ForMaskedLM",
            "TFDebertaV2ForQuestionAnswering",
            "TFDebertaV2ForSequenceClassification",
            "TFDebertaV2ForTokenClassification",
            "TFDebertaV2Model",
            "TFDebertaV2PreTrainedModel",
        ]
    )
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    _import_structure["models.deit"].extend(
        [
            "TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDeiTForImageClassification",
            "TFDeiTForImageClassificationWithTeacher",
            "TFDeiTForMaskedImageModeling",
            "TFDeiTModel",
            "TFDeiTPreTrainedModel",
        ]
    )
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    _import_structure["models.distilbert"].extend(
        [
            "TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDistilBertForMaskedLM",
            "TFDistilBertForMultipleChoice",
            "TFDistilBertForQuestionAnswering",
            "TFDistilBertForSequenceClassification",
            "TFDistilBertForTokenClassification",
            "TFDistilBertMainLayer",
            "TFDistilBertModel",
            "TFDistilBertPreTrainedModel",
        ]
    )
    _import_structure["models.dpr"].extend(
        [
            "TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDPRContextEncoder",
            "TFDPRPretrainedContextEncoder",
            "TFDPRPretrainedQuestionEncoder",
            "TFDPRPretrainedReader",
            "TFDPRQuestionEncoder",
            "TFDPRReader",
        ]
    )
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    _import_structure["models.efficientformer"].extend(
        [
            "TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFEfficientFormerForImageClassification",
            "TFEfficientFormerForImageClassificationWithTeacher",
            "TFEfficientFormerModel",
            "TFEfficientFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.electra"].extend(
        [
            "TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFElectraForMaskedLM",
            "TFElectraForMultipleChoice",
            "TFElectraForPreTraining",
            "TFElectraForQuestionAnswering",
            "TFElectraForSequenceClassification",
            "TFElectraForTokenClassification",
            "TFElectraModel",
            "TFElectraPreTrainedModel",
        ]
    )
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    _import_structure["models.encoder_decoder"].append("TFEncoderDecoderModel")
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    _import_structure["models.esm"].extend(
        [
            "ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFEsmForMaskedLM",
            "TFEsmForSequenceClassification",
            "TFEsmForTokenClassification",
            "TFEsmModel",
            "TFEsmPreTrainedModel",
        ]
    )
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    _import_structure["models.flaubert"].extend(
        [
            "TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFlaubertForMultipleChoice",
            "TFFlaubertForQuestionAnsweringSimple",
            "TFFlaubertForSequenceClassification",
            "TFFlaubertForTokenClassification",
            "TFFlaubertModel",
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            "TFFlaubertPreTrainedModel",
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            "TFFlaubertWithLMHeadModel",
        ]
    )
    _import_structure["models.funnel"].extend(
        [
            "TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFunnelBaseModel",
            "TFFunnelForMaskedLM",
            "TFFunnelForMultipleChoice",
            "TFFunnelForPreTraining",
            "TFFunnelForQuestionAnswering",
            "TFFunnelForSequenceClassification",
            "TFFunnelForTokenClassification",
            "TFFunnelModel",
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            "TFFunnelPreTrainedModel",
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        ]
    )
    _import_structure["models.gpt2"].extend(
        [
            "TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFGPT2DoubleHeadsModel",
            "TFGPT2ForSequenceClassification",
            "TFGPT2LMHeadModel",
            "TFGPT2MainLayer",
            "TFGPT2Model",
            "TFGPT2PreTrainedModel",
        ]
    )
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    _import_structure["models.gptj"].extend(
        [
            "TFGPTJForCausalLM",
            "TFGPTJForQuestionAnswering",
            "TFGPTJForSequenceClassification",
            "TFGPTJModel",
            "TFGPTJPreTrainedModel",
        ]
    )
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    _import_structure["models.groupvit"].extend(
        [
            "TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFGroupViTModel",
            "TFGroupViTPreTrainedModel",
            "TFGroupViTTextModel",
            "TFGroupViTVisionModel",
        ]
    )
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    _import_structure["models.hubert"].extend(
        [
            "TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFHubertForCTC",
            "TFHubertModel",
            "TFHubertPreTrainedModel",
        ]
    )
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    _import_structure["models.layoutlm"].extend(
        [
            "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMForMaskedLM",
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            "TFLayoutLMForQuestionAnswering",
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            "TFLayoutLMForSequenceClassification",
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            "TFLayoutLMForTokenClassification",
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            "TFLayoutLMMainLayer",
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            "TFLayoutLMModel",
            "TFLayoutLMPreTrainedModel",
        ]
    )
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    _import_structure["models.layoutlmv3"].extend(
        [
            "TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMv3ForQuestionAnswering",
            "TFLayoutLMv3ForSequenceClassification",
            "TFLayoutLMv3ForTokenClassification",
            "TFLayoutLMv3Model",
            "TFLayoutLMv3PreTrainedModel",
        ]
    )
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    _import_structure["models.led"].extend(["TFLEDForConditionalGeneration", "TFLEDModel", "TFLEDPreTrainedModel"])
    _import_structure["models.longformer"].extend(
        [
            "TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLongformerForMaskedLM",
            "TFLongformerForMultipleChoice",
            "TFLongformerForQuestionAnswering",
            "TFLongformerForSequenceClassification",
            "TFLongformerForTokenClassification",
            "TFLongformerModel",
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            "TFLongformerPreTrainedModel",
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            "TFLongformerSelfAttention",
        ]
    )
    _import_structure["models.lxmert"].extend(
        [
            "TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLxmertForPreTraining",
            "TFLxmertMainLayer",
            "TFLxmertModel",
            "TFLxmertPreTrainedModel",
            "TFLxmertVisualFeatureEncoder",
        ]
    )
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    _import_structure["models.marian"].extend(["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"])
    _import_structure["models.mbart"].extend(
        ["TFMBartForConditionalGeneration", "TFMBartModel", "TFMBartPreTrainedModel"]
    )
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    _import_structure["models.mobilebert"].extend(
        [
            "TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMobileBertForMaskedLM",
            "TFMobileBertForMultipleChoice",
            "TFMobileBertForNextSentencePrediction",
            "TFMobileBertForPreTraining",
            "TFMobileBertForQuestionAnswering",
            "TFMobileBertForSequenceClassification",
            "TFMobileBertForTokenClassification",
            "TFMobileBertMainLayer",
            "TFMobileBertModel",
            "TFMobileBertPreTrainedModel",
        ]
    )
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    _import_structure["models.mobilevit"].extend(
        [
            "TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMobileViTForImageClassification",
            "TFMobileViTForSemanticSegmentation",
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            "TFMobileViTModel",
            "TFMobileViTPreTrainedModel",
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        ]
    )
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    _import_structure["models.mpnet"].extend(
        [
            "TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMPNetForMaskedLM",
            "TFMPNetForMultipleChoice",
            "TFMPNetForQuestionAnswering",
            "TFMPNetForSequenceClassification",
            "TFMPNetForTokenClassification",
            "TFMPNetMainLayer",
            "TFMPNetModel",
            "TFMPNetPreTrainedModel",
        ]
    )
    _import_structure["models.mt5"].extend(["TFMT5EncoderModel", "TFMT5ForConditionalGeneration", "TFMT5Model"])
    _import_structure["models.openai"].extend(
        [
            "TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFOpenAIGPTDoubleHeadsModel",
            "TFOpenAIGPTForSequenceClassification",
            "TFOpenAIGPTLMHeadModel",
            "TFOpenAIGPTMainLayer",
            "TFOpenAIGPTModel",
            "TFOpenAIGPTPreTrainedModel",
        ]
    )
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    _import_structure["models.opt"].extend(
        [
            "TFOPTForCausalLM",
            "TFOPTModel",
            "TFOPTPreTrainedModel",
        ]
    )
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    _import_structure["models.pegasus"].extend(
        ["TFPegasusForConditionalGeneration", "TFPegasusModel", "TFPegasusPreTrainedModel"]
    )
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    _import_structure["models.rag"].extend(
        [
            "TFRagModel",
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            "TFRagPreTrainedModel",
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            "TFRagSequenceForGeneration",
            "TFRagTokenForGeneration",
        ]
    )
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    _import_structure["models.regnet"].extend(
        [
            "TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRegNetForImageClassification",
            "TFRegNetModel",
            "TFRegNetPreTrainedModel",
        ]
    )
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    _import_structure["models.rembert"].extend(
        [
            "TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRemBertForCausalLM",
            "TFRemBertForMaskedLM",
            "TFRemBertForMultipleChoice",
            "TFRemBertForQuestionAnswering",
            "TFRemBertForSequenceClassification",
            "TFRemBertForTokenClassification",
            "TFRemBertLayer",
            "TFRemBertModel",
            "TFRemBertPreTrainedModel",
        ]
    )
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    _import_structure["models.resnet"].extend(
        [
            "TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFResNetForImageClassification",
            "TFResNetModel",
            "TFResNetPreTrainedModel",
        ]
    )
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    _import_structure["models.roberta"].extend(
        [
            "TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "TFRobertaForCausalLM",
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            "TFRobertaForMaskedLM",
            "TFRobertaForMultipleChoice",
            "TFRobertaForQuestionAnswering",
            "TFRobertaForSequenceClassification",
            "TFRobertaForTokenClassification",
            "TFRobertaMainLayer",
            "TFRobertaModel",
            "TFRobertaPreTrainedModel",
        ]
    )
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    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRobertaPreLayerNormForCausalLM",
            "TFRobertaPreLayerNormForMaskedLM",
            "TFRobertaPreLayerNormForMultipleChoice",
            "TFRobertaPreLayerNormForQuestionAnswering",
            "TFRobertaPreLayerNormForSequenceClassification",
            "TFRobertaPreLayerNormForTokenClassification",
            "TFRobertaPreLayerNormMainLayer",
            "TFRobertaPreLayerNormModel",
            "TFRobertaPreLayerNormPreTrainedModel",
        ]
    )
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    _import_structure["models.roformer"].extend(
        [
            "TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRoFormerForCausalLM",
            "TFRoFormerForMaskedLM",
            "TFRoFormerForMultipleChoice",
            "TFRoFormerForQuestionAnswering",
            "TFRoFormerForSequenceClassification",
            "TFRoFormerForTokenClassification",
            "TFRoFormerLayer",
            "TFRoFormerModel",
            "TFRoFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.sam"].extend(
        [
            "TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSamModel",
            "TFSamPreTrainedModel",
        ]
    )
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    _import_structure["models.segformer"].extend(
        [
            "TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSegformerDecodeHead",
            "TFSegformerForImageClassification",
            "TFSegformerForSemanticSegmentation",
            "TFSegformerModel",
            "TFSegformerPreTrainedModel",
        ]
    )
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    _import_structure["models.speech_to_text"].extend(
        [
            "TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSpeech2TextForConditionalGeneration",
            "TFSpeech2TextModel",
            "TFSpeech2TextPreTrainedModel",
        ]
    )
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    _import_structure["models.swin"].extend(
        [
            "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSwinForImageClassification",
            "TFSwinForMaskedImageModeling",
            "TFSwinModel",
            "TFSwinPreTrainedModel",
        ]
    )
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    _import_structure["models.t5"].extend(
        [
            "TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFT5EncoderModel",
            "TFT5ForConditionalGeneration",
            "TFT5Model",
            "TFT5PreTrainedModel",
        ]
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    )
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    _import_structure["models.tapas"].extend(
        [
            "TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFTapasForMaskedLM",
            "TFTapasForQuestionAnswering",
            "TFTapasForSequenceClassification",
            "TFTapasModel",
            "TFTapasPreTrainedModel",
        ]
    )
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    _import_structure["models.transfo_xl"].extend(
        [
            "TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFAdaptiveEmbedding",
            "TFTransfoXLForSequenceClassification",
            "TFTransfoXLLMHeadModel",
            "TFTransfoXLMainLayer",
            "TFTransfoXLModel",
            "TFTransfoXLPreTrainedModel",
        ]
    )
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    _import_structure["models.vision_encoder_decoder"].extend(["TFVisionEncoderDecoderModel"])
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    _import_structure["models.vision_text_dual_encoder"].extend(["TFVisionTextDualEncoderModel"])
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    _import_structure["models.vit"].extend(
        [
            "TFViTForImageClassification",
            "TFViTModel",
            "TFViTPreTrainedModel",
        ]
    )
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    _import_structure["models.vit_mae"].extend(
        [
            "TFViTMAEForPreTraining",
            "TFViTMAEModel",
            "TFViTMAEPreTrainedModel",
        ]
    )
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    _import_structure["models.wav2vec2"].extend(
        [
            "TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFWav2Vec2ForCTC",
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            "TFWav2Vec2ForSequenceClassification",
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            "TFWav2Vec2Model",
            "TFWav2Vec2PreTrainedModel",
        ]
    )
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    _import_structure["models.whisper"].extend(
        [
            "TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFWhisperForConditionalGeneration",
            "TFWhisperModel",
            "TFWhisperPreTrainedModel",
        ]
    )
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    _import_structure["models.xglm"].extend(
        [
            "TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXGLMForCausalLM",
            "TFXGLMModel",
            "TFXGLMPreTrainedModel",
        ]
    )
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    _import_structure["models.xlm"].extend(
        [
            "TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXLMForMultipleChoice",
            "TFXLMForQuestionAnsweringSimple",
            "TFXLMForSequenceClassification",
            "TFXLMForTokenClassification",
            "TFXLMMainLayer",
            "TFXLMModel",
            "TFXLMPreTrainedModel",
            "TFXLMWithLMHeadModel",
        ]
    )
    _import_structure["models.xlm_roberta"].extend(
        [
            "TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "TFXLMRobertaForCausalLM",
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            "TFXLMRobertaForMaskedLM",
            "TFXLMRobertaForMultipleChoice",
            "TFXLMRobertaForQuestionAnswering",
            "TFXLMRobertaForSequenceClassification",
            "TFXLMRobertaForTokenClassification",
            "TFXLMRobertaModel",
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            "TFXLMRobertaPreTrainedModel",
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        ]
    )
    _import_structure["models.xlnet"].extend(
        [
            "TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXLNetForMultipleChoice",
            "TFXLNetForQuestionAnsweringSimple",
            "TFXLNetForSequenceClassification",
            "TFXLNetForTokenClassification",
            "TFXLNetLMHeadModel",
            "TFXLNetMainLayer",
            "TFXLNetModel",
            "TFXLNetPreTrainedModel",
        ]
    )
    _import_structure["optimization_tf"] = ["AdamWeightDecay", "GradientAccumulator", "WarmUp", "create_optimizer"]
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    _import_structure["tf_utils"] = []
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    _import_structure["trainer_tf"] = ["TFTrainer"]
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# FLAX-backed objects
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try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_flax_objects

    _import_structure["utils.dummy_flax_objects"] = [
        name for name in dir(dummy_flax_objects) if not name.startswith("_")
    ]
else:
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    _import_structure["generation"].extend(
        [
            "FlaxForcedBOSTokenLogitsProcessor",
            "FlaxForcedEOSTokenLogitsProcessor",
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            "FlaxGenerationMixin",
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            "FlaxLogitsProcessor",
            "FlaxLogitsProcessorList",
            "FlaxLogitsWarper",
            "FlaxMinLengthLogitsProcessor",
            "FlaxTemperatureLogitsWarper",
            "FlaxTopKLogitsWarper",
            "FlaxTopPLogitsWarper",
        ]
    )
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    _import_structure["generation_flax_utils"] = []
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    _import_structure["modeling_flax_outputs"] = []
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    _import_structure["modeling_flax_utils"] = ["FlaxPreTrainedModel"]
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    _import_structure["models.albert"].extend(
        [
            "FlaxAlbertForMaskedLM",
            "FlaxAlbertForMultipleChoice",
            "FlaxAlbertForPreTraining",
            "FlaxAlbertForQuestionAnswering",
            "FlaxAlbertForSequenceClassification",
            "FlaxAlbertForTokenClassification",
            "FlaxAlbertModel",
            "FlaxAlbertPreTrainedModel",
        ]
    )
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    _import_structure["models.auto"].extend(
        [
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            "FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING",
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            "FLAX_MODEL_FOR_CAUSAL_LM_MAPPING",
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            "FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
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            "FLAX_MODEL_FOR_MASKED_LM_MAPPING",
            "FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
            "FLAX_MODEL_FOR_PRETRAINING_MAPPING",
            "FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING",
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            "FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
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            "FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
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            "FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
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            "FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
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            "FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING",
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            "FLAX_MODEL_MAPPING",
            "FlaxAutoModel",
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            "FlaxAutoModelForCausalLM",
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            "FlaxAutoModelForImageClassification",
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            "FlaxAutoModelForMaskedLM",
            "FlaxAutoModelForMultipleChoice",
            "FlaxAutoModelForNextSentencePrediction",
            "FlaxAutoModelForPreTraining",
            "FlaxAutoModelForQuestionAnswering",
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            "FlaxAutoModelForSeq2SeqLM",
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            "FlaxAutoModelForSequenceClassification",
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            "FlaxAutoModelForSpeechSeq2Seq",
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            "FlaxAutoModelForTokenClassification",
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            "FlaxAutoModelForVision2Seq",
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        ]
    )
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    # Flax models structure
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    _import_structure["models.bart"].extend(
        [
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            "FlaxBartDecoderPreTrainedModel",
            "FlaxBartForCausalLM",
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            "FlaxBartForConditionalGeneration",
            "FlaxBartForQuestionAnswering",
            "FlaxBartForSequenceClassification",
            "FlaxBartModel",
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            "FlaxBartPreTrainedModel",
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        ]
    )
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    _import_structure["models.beit"].extend(
        [
            "FlaxBeitForImageClassification",
            "FlaxBeitForMaskedImageModeling",
            "FlaxBeitModel",
            "FlaxBeitPreTrainedModel",
        ]
    )
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    _import_structure["models.bert"].extend(
        [
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            "FlaxBertForCausalLM",
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            "FlaxBertForMaskedLM",
            "FlaxBertForMultipleChoice",
            "FlaxBertForNextSentencePrediction",
            "FlaxBertForPreTraining",
            "FlaxBertForQuestionAnswering",
            "FlaxBertForSequenceClassification",
            "FlaxBertForTokenClassification",
            "FlaxBertModel",
            "FlaxBertPreTrainedModel",
        ]
    )
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    _import_structure["models.big_bird"].extend(
        [
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            "FlaxBigBirdForCausalLM",
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            "FlaxBigBirdForMaskedLM",
            "FlaxBigBirdForMultipleChoice",
            "FlaxBigBirdForPreTraining",
            "FlaxBigBirdForQuestionAnswering",
            "FlaxBigBirdForSequenceClassification",
            "FlaxBigBirdForTokenClassification",
            "FlaxBigBirdModel",
            "FlaxBigBirdPreTrainedModel",
        ]
    )
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    _import_structure["models.blenderbot"].extend(
        ["FlaxBlenderbotForConditionalGeneration", "FlaxBlenderbotModel", "FlaxBlenderbotPreTrainedModel"]
    )
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    _import_structure["models.blenderbot_small"].extend(
        [
            "FlaxBlenderbotSmallForConditionalGeneration",
            "FlaxBlenderbotSmallModel",
            "FlaxBlenderbotSmallPreTrainedModel",
        ]
    )
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    _import_structure["models.clip"].extend(
        [
            "FlaxCLIPModel",
            "FlaxCLIPPreTrainedModel",
            "FlaxCLIPTextModel",
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            "FlaxCLIPTextPreTrainedModel",
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            "FlaxCLIPVisionModel",
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            "FlaxCLIPVisionPreTrainedModel",
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        ]
    )
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    _import_structure["models.distilbert"].extend(
        [
            "FlaxDistilBertForMaskedLM",
            "FlaxDistilBertForMultipleChoice",
            "FlaxDistilBertForQuestionAnswering",
            "FlaxDistilBertForSequenceClassification",
            "FlaxDistilBertForTokenClassification",
            "FlaxDistilBertModel",
            "FlaxDistilBertPreTrainedModel",
        ]
    )
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    _import_structure["models.electra"].extend(
        [
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            "FlaxElectraForCausalLM",
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            "FlaxElectraForMaskedLM",
            "FlaxElectraForMultipleChoice",
            "FlaxElectraForPreTraining",
            "FlaxElectraForQuestionAnswering",
            "FlaxElectraForSequenceClassification",
            "FlaxElectraForTokenClassification",
            "FlaxElectraModel",
            "FlaxElectraPreTrainedModel",
        ]
    )
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    _import_structure["models.encoder_decoder"].append("FlaxEncoderDecoderModel")
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    _import_structure["models.gpt2"].extend(["FlaxGPT2LMHeadModel", "FlaxGPT2Model", "FlaxGPT2PreTrainedModel"])
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    _import_structure["models.gpt_neo"].extend(
        ["FlaxGPTNeoForCausalLM", "FlaxGPTNeoModel", "FlaxGPTNeoPreTrainedModel"]
    )
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    _import_structure["models.gptj"].extend(["FlaxGPTJForCausalLM", "FlaxGPTJModel", "FlaxGPTJPreTrainedModel"])
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    _import_structure["models.longt5"].extend(
        ["FlaxLongT5ForConditionalGeneration", "FlaxLongT5Model", "FlaxLongT5PreTrainedModel"]
    )
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    _import_structure["models.marian"].extend(
        [
            "FlaxMarianModel",
            "FlaxMarianMTModel",
            "FlaxMarianPreTrainedModel",
        ]
    )
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    _import_structure["models.mbart"].extend(
        [
            "FlaxMBartForConditionalGeneration",
            "FlaxMBartForQuestionAnswering",
            "FlaxMBartForSequenceClassification",
            "FlaxMBartModel",
            "FlaxMBartPreTrainedModel",
        ]
    )
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    _import_structure["models.mt5"].extend(["FlaxMT5EncoderModel", "FlaxMT5ForConditionalGeneration", "FlaxMT5Model"])
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    _import_structure["models.opt"].extend(
        [
            "FlaxOPTForCausalLM",
            "FlaxOPTModel",
            "FlaxOPTPreTrainedModel",
        ]
    )
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    _import_structure["models.pegasus"].extend(
        [
            "FlaxPegasusForConditionalGeneration",
            "FlaxPegasusModel",
            "FlaxPegasusPreTrainedModel",
        ]
    )
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    _import_structure["models.regnet"].extend(
        ["FlaxRegNetForImageClassification", "FlaxRegNetModel", "FlaxRegNetPreTrainedModel"]
    )
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    _import_structure["models.resnet"].extend(
        ["FlaxResNetForImageClassification", "FlaxResNetModel", "FlaxResNetPreTrainedModel"]
    )
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    _import_structure["models.roberta"].extend(
        [
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            "FlaxRobertaForCausalLM",
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            "FlaxRobertaForMaskedLM",
            "FlaxRobertaForMultipleChoice",
            "FlaxRobertaForQuestionAnswering",
            "FlaxRobertaForSequenceClassification",
            "FlaxRobertaForTokenClassification",
            "FlaxRobertaModel",
            "FlaxRobertaPreTrainedModel",
        ]
    )
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    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "FlaxRobertaPreLayerNormForCausalLM",
            "FlaxRobertaPreLayerNormForMaskedLM",
            "FlaxRobertaPreLayerNormForMultipleChoice",
            "FlaxRobertaPreLayerNormForQuestionAnswering",
            "FlaxRobertaPreLayerNormForSequenceClassification",
            "FlaxRobertaPreLayerNormForTokenClassification",
            "FlaxRobertaPreLayerNormModel",
            "FlaxRobertaPreLayerNormPreTrainedModel",
        ]
    )
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    _import_structure["models.roformer"].extend(
        [
            "FlaxRoFormerForMaskedLM",
            "FlaxRoFormerForMultipleChoice",
            "FlaxRoFormerForQuestionAnswering",
            "FlaxRoFormerForSequenceClassification",
            "FlaxRoFormerForTokenClassification",
            "FlaxRoFormerModel",
            "FlaxRoFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.speech_encoder_decoder"].append("FlaxSpeechEncoderDecoderModel")
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Crystina committed
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    _import_structure["models.t5"].extend(
        ["FlaxT5EncoderModel", "FlaxT5ForConditionalGeneration", "FlaxT5Model", "FlaxT5PreTrainedModel"]
    )
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    _import_structure["models.vision_encoder_decoder"].append("FlaxVisionEncoderDecoderModel")
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    _import_structure["models.vision_text_dual_encoder"].extend(["FlaxVisionTextDualEncoderModel"])
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    _import_structure["models.vit"].extend(["FlaxViTForImageClassification", "FlaxViTModel", "FlaxViTPreTrainedModel"])
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    _import_structure["models.wav2vec2"].extend(
        ["FlaxWav2Vec2ForCTC", "FlaxWav2Vec2ForPreTraining", "FlaxWav2Vec2Model", "FlaxWav2Vec2PreTrainedModel"]
    )
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    _import_structure["models.whisper"].extend(
        [
            "FlaxWhisperForConditionalGeneration",
            "FlaxWhisperModel",
            "FlaxWhisperPreTrainedModel",
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            "FlaxWhisperForAudioClassification",
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        ]
    )
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    _import_structure["models.xglm"].extend(
        [
            "FlaxXGLMForCausalLM",
            "FlaxXGLMModel",
            "FlaxXGLMPreTrainedModel",
        ]
    )
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    _import_structure["models.xlm_roberta"].extend(
        [
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            "FLAX_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "FlaxXLMRobertaForMaskedLM",
            "FlaxXLMRobertaForMultipleChoice",
            "FlaxXLMRobertaForQuestionAnswering",
            "FlaxXLMRobertaForSequenceClassification",
            "FlaxXLMRobertaForTokenClassification",
            "FlaxXLMRobertaModel",
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            "FlaxXLMRobertaForCausalLM",
            "FlaxXLMRobertaPreTrainedModel",
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        ]
    )
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# Direct imports for type-checking
if TYPE_CHECKING:
    # Configuration
    from .configuration_utils import PretrainedConfig

    # Data
    from .data import (
        DataProcessor,
        InputExample,
        InputFeatures,
        SingleSentenceClassificationProcessor,
        SquadExample,
        SquadFeatures,
        SquadV1Processor,
        SquadV2Processor,
        glue_compute_metrics,
        glue_convert_examples_to_features,
        glue_output_modes,
        glue_processors,
        glue_tasks_num_labels,
        squad_convert_examples_to_features,
        xnli_compute_metrics,
        xnli_output_modes,
        xnli_processors,
        xnli_tasks_num_labels,
    )
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    from .data.data_collator import (
        DataCollator,
        DataCollatorForLanguageModeling,
        DataCollatorForPermutationLanguageModeling,
        DataCollatorForSeq2Seq,
        DataCollatorForSOP,
        DataCollatorForTokenClassification,
        DataCollatorForWholeWordMask,
        DataCollatorWithPadding,
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        DefaultDataCollator,
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        default_data_collator,
    )
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    from .feature_extraction_sequence_utils import SequenceFeatureExtractor
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    # Feature Extractor
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    from .feature_extraction_utils import BatchFeature, FeatureExtractionMixin
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    # Generation
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    from .generation import GenerationConfig, TextIteratorStreamer, TextStreamer
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    from .hf_argparser import HfArgumentParser
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    # Integrations
    from .integrations import (
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        is_clearml_available,
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        is_comet_available,
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        is_neptune_available,
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        is_optuna_available,
        is_ray_available,
        is_ray_tune_available,
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        is_sigopt_available,
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        is_tensorboard_available,
        is_wandb_available,
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    )
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    # Model Cards
    from .modelcard import ModelCard

    # TF 2.0 <=> PyTorch conversion utilities
    from .modeling_tf_pytorch_utils import (
        convert_tf_weight_name_to_pt_weight_name,
        load_pytorch_checkpoint_in_tf2_model,
        load_pytorch_model_in_tf2_model,
        load_pytorch_weights_in_tf2_model,
        load_tf2_checkpoint_in_pytorch_model,
        load_tf2_model_in_pytorch_model,
        load_tf2_weights_in_pytorch_model,
    )
    from .models.albert import ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, AlbertConfig
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    from .models.align import (
        ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AlignConfig,
        AlignProcessor,
        AlignTextConfig,
        AlignVisionConfig,
    )
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Jongjyh committed
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    from .models.altclip import (
        ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AltCLIPConfig,
        AltCLIPProcessor,
        AltCLIPTextConfig,
        AltCLIPVisionConfig,
    )
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    from .models.audio_spectrogram_transformer import (
        AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ASTConfig,
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
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    from .models.auto import (
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        ALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CONFIG_MAPPING,
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        FEATURE_EXTRACTOR_MAPPING,
amyeroberts's avatar
amyeroberts committed
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        IMAGE_PROCESSOR_MAPPING,
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        MODEL_NAMES_MAPPING,
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Sylvain Gugger committed
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        PROCESSOR_MAPPING,
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        TOKENIZER_MAPPING,
        AutoConfig,
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        AutoFeatureExtractor,
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amyeroberts committed
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        AutoImageProcessor,
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Sylvain Gugger committed
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        AutoProcessor,
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        AutoTokenizer,
    )
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    from .models.autoformer import (
        AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AutoformerConfig,
    )
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    from .models.bart import BartConfig, BartTokenizer
NielsRogge's avatar
NielsRogge committed
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    from .models.beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig
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Sylvain Gugger committed
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    from .models.bert import (
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        BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BasicTokenizer,
        BertConfig,
        BertTokenizer,
        WordpieceTokenizer,
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    )
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    from .models.bert_generation import BertGenerationConfig
    from .models.bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer
    from .models.bertweet import BertweetTokenizer
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    from .models.big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig
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Vasudev Gupta committed
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    from .models.bigbird_pegasus import BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdPegasusConfig
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Kamal Raj Kanakarajan committed
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    from .models.biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig, BioGptTokenizer
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NielsRogge committed
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    from .models.bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig
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    from .models.blenderbot import BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP, BlenderbotConfig, BlenderbotTokenizer
    from .models.blenderbot_small import (
        BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlenderbotSmallConfig,
        BlenderbotSmallTokenizer,
    )
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Younes Belkada committed
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    from .models.blip import (
        BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlipConfig,
        BlipProcessor,
        BlipTextConfig,
        BlipVisionConfig,
    )
NielsRogge's avatar
NielsRogge committed
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    from .models.blip_2 import (
        BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Blip2Config,
        Blip2Processor,
        Blip2QFormerConfig,
        Blip2VisionConfig,
    )
Younes Belkada's avatar
Younes Belkada committed
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    from .models.bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig
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    from .models.bridgetower import (
        BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BridgeTowerConfig,
        BridgeTowerProcessor,
        BridgeTowerTextConfig,
        BridgeTowerVisionConfig,
    )
Patrick von Platen's avatar
Patrick von Platen committed
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    from .models.byt5 import ByT5Tokenizer
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    from .models.camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig, CanineTokenizer
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    from .models.chinese_clip import (
        CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ChineseCLIPConfig,
        ChineseCLIPProcessor,
        ChineseCLIPTextConfig,
        ChineseCLIPVisionConfig,
    )
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    from .models.clap import (
        CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
        ClapAudioConfig,
        ClapConfig,
        ClapProcessor,
        ClapTextConfig,
    )
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Suraj Patil committed
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    from .models.clip import (
        CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPConfig,
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NielsRogge committed
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        CLIPProcessor,
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Suraj Patil committed
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        CLIPTextConfig,
        CLIPTokenizer,
        CLIPVisionConfig,
    )
NielsRogge's avatar
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    from .models.clipseg import (
        CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPSegConfig,
        CLIPSegProcessor,
        CLIPSegTextConfig,
        CLIPSegVisionConfig,
    )
rooa's avatar
rooa committed
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    from .models.codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenTokenizer
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    from .models.conditional_detr import CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, ConditionalDetrConfig
abhishek thakur's avatar
abhishek thakur committed
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    from .models.convbert import CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvBertConfig, ConvBertTokenizer
NielsRogge's avatar
NielsRogge committed
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    from .models.convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig
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Alara Dirik committed
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    from .models.convnextv2 import CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextV2Config
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    from .models.cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig, CpmAntTokenizer
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    from .models.ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig, CTRLTokenizer
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NielsRogge committed
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    from .models.cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig
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    from .models.data2vec import (
        DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Data2VecAudioConfig,
        Data2VecTextConfig,
        Data2VecVisionConfig,
    )
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    from .models.deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaTokenizer
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    from .models.deberta_v2 import DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaV2Config
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    from .models.decision_transformer import (
        DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DecisionTransformerConfig,
    )
NielsRogge's avatar
NielsRogge committed
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    from .models.deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig
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NielsRogge committed
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    from .models.deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig
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NielsRogge committed
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    from .models.deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
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NielsRogge committed
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    from .models.detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig
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    from .models.dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
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    from .models.distilbert import DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, DistilBertConfig, DistilBertTokenizer
NielsRogge's avatar
NielsRogge committed
4156
    from .models.donut import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutProcessor, DonutSwinConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
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    from .models.dpr import (
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        DPR_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DPRConfig,
        DPRContextEncoderTokenizer,
        DPRQuestionEncoderTokenizer,
        DPRReaderOutput,
        DPRReaderTokenizer,
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    )
NielsRogge's avatar
NielsRogge committed
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    from .models.dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig
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    from .models.efficientformer import EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientFormerConfig
Alara Dirik's avatar
Alara Dirik committed
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    from .models.efficientnet import EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientNetConfig
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    from .models.electra import ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP, ElectraConfig, ElectraTokenizer
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    from .models.encodec import (
        ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
        EncodecConfig,
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        EncodecFeatureExtractor,
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    )
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    from .models.encoder_decoder import EncoderDecoderConfig
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    from .models.ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig
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    from .models.ernie_m import ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieMConfig
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    from .models.esm import ESM_PRETRAINED_CONFIG_ARCHIVE_MAP, EsmConfig, EsmTokenizer
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    from .models.flaubert import FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, FlaubertConfig, FlaubertTokenizer
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    from .models.flava import (
        FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
        FlavaConfig,
        FlavaImageCodebookConfig,
        FlavaImageConfig,
        FlavaMultimodalConfig,
        FlavaTextConfig,
    )
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    from .models.fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.focalnet import FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FocalNetConfig
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    from .models.fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig, FSMTTokenizer
    from .models.funnel import FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP, FunnelConfig, FunnelTokenizer
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    from .models.git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitProcessor, GitVisionConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig
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    from .models.gpt2 import GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2Config, GPT2Tokenizer
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    from .models.gpt_bigcode import GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTBigCodeConfig
Suraj Patil's avatar
Suraj Patil committed
4195
    from .models.gpt_neo import GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoConfig
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    from .models.gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig
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    from .models.gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
Stella Biderman's avatar
Stella Biderman committed
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    from .models.gptj import GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTJConfig
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    from .models.gptsan_japanese import (
        GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP,
        GPTSanJapaneseConfig,
        GPTSanJapaneseTokenizer,
    )
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    from .models.graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig
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    from .models.groupvit import (
        GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        GroupViTConfig,
        GroupViTTextConfig,
        GroupViTVisionConfig,
    )
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    from .models.herbert import HerbertTokenizer
Patrick von Platen's avatar
Patrick von Platen committed
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    from .models.hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig
Sehoon Kim's avatar
Sehoon Kim committed
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    from .models.ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig
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    from .models.informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.instructblip import (
        INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        InstructBlipConfig,
        InstructBlipProcessor,
        InstructBlipQFormerConfig,
        InstructBlipVisionConfig,
    )
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    from .models.jukebox import (
        JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
        JukeboxConfig,
        JukeboxPriorConfig,
        JukeboxTokenizer,
        JukeboxVQVAEConfig,
    )
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    from .models.layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMTokenizer
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    from .models.layoutlmv2 import (
        LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv2Config,
        LayoutLMv2FeatureExtractor,
amyeroberts's avatar
amyeroberts committed
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        LayoutLMv2ImageProcessor,
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        LayoutLMv2Processor,
        LayoutLMv2Tokenizer,
    )
NielsRogge's avatar
NielsRogge committed
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    from .models.layoutlmv3 import (
        LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv3Config,
        LayoutLMv3FeatureExtractor,
amyeroberts's avatar
amyeroberts committed
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        LayoutLMv3ImageProcessor,
NielsRogge's avatar
NielsRogge committed
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        LayoutLMv3Processor,
        LayoutLMv3Tokenizer,
    )
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    from .models.layoutxlm import LayoutXLMProcessor
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    from .models.led import LED_PRETRAINED_CONFIG_ARCHIVE_MAP, LEDConfig, LEDTokenizer
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    from .models.levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig
Jason Phang's avatar
Jason Phang committed
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    from .models.llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig
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    from .models.longformer import LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, LongformerConfig, LongformerTokenizer
Daniel Stancl's avatar
Daniel Stancl committed
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    from .models.longt5 import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongT5Config
NielsRogge's avatar
NielsRogge committed
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    from .models.luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig, LukeTokenizer
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    from .models.lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig, LxmertTokenizer
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    from .models.m2m_100 import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, M2M100Config
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    from .models.marian import MarianConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.markuplm import (
        MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MarkupLMConfig,
        MarkupLMFeatureExtractor,
        MarkupLMProcessor,
        MarkupLMTokenizer,
    )
Alara Dirik's avatar
Alara Dirik committed
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    from .models.mask2former import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Mask2FormerConfig
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    from .models.maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig, MaskFormerSwinConfig
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    from .models.mbart import MBartConfig
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    from .models.mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig, MCTCTFeatureExtractor, MCTCTProcessor
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    from .models.mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig
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    from .models.megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig
wangpeng's avatar
wangpeng committed
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    from .models.mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig, MgpstrProcessor, MgpstrTokenizer
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    from .models.mmbt import MMBTConfig
    from .models.mobilebert import MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileBertConfig, MobileBertTokenizer
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    from .models.mobilenet_v1 import MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileNetV1Config
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    from .models.mobilenet_v2 import MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileNetV2Config
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    from .models.mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig
Shehan Munasinghe's avatar
Shehan Munasinghe committed
4277
    from .models.mobilevitv2 import MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTV2Config
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    from .models.mpnet import MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP, MPNetConfig, MPNetTokenizer
    from .models.mt5 import MT5Config
Sanchit Gandhi's avatar
Sanchit Gandhi committed
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    from .models.musicgen import (
        MUSICGEN_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MusicgenConfig,
        MusicgenDecoderConfig,
    )
StevenTang1998's avatar
StevenTang1998 committed
4285
    from .models.mvp import MvpConfig, MvpTokenizer
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    from .models.nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig
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    from .models.nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig
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    from .models.nllb_moe import NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP, NllbMoeConfig
novice's avatar
novice committed
4289
    from .models.nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig
Jitesh Jain's avatar
Jitesh Jain committed
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    from .models.oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig, OneFormerProcessor
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    from .models.open_llama import OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenLlamaConfig
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    from .models.openai import OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenAIGPTConfig, OpenAIGPTTokenizer
Younes Belkada's avatar
Younes Belkada committed
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    from .models.opt import OPTConfig
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    from .models.owlvit import (
        OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        OwlViTConfig,
        OwlViTProcessor,
        OwlViTTextConfig,
        OwlViTVisionConfig,
    )
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    from .models.pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig, PegasusTokenizer
Jason Phang's avatar
Jason Phang committed
4302
    from .models.pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig
NielsRogge's avatar
NielsRogge committed
4303
    from .models.perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig, PerceiverTokenizer
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    from .models.phobert import PhobertTokenizer
Younes Belkada's avatar
Younes Belkada committed
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    from .models.pix2struct import (
        PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Pix2StructConfig,
        Pix2StructProcessor,
        Pix2StructTextConfig,
        Pix2StructVisionConfig,
    )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4312
    from .models.plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig
Tanay Mehta's avatar
Tanay Mehta committed
4313
    from .models.poolformer import POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, PoolFormerConfig
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    from .models.prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig, ProphetNetTokenizer
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    from .models.qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig
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    from .models.rag import RagConfig, RagRetriever, RagTokenizer
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
4317
    from .models.realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig, RealmTokenizer
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    from .models.reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
4319
    from .models.regnet import REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP, RegNetConfig
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    from .models.rembert import REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RemBertConfig
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    from .models.resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig
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    from .models.retribert import RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RetriBertConfig, RetriBertTokenizer
    from .models.roberta import ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, RobertaConfig, RobertaTokenizer
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    from .models.roberta_prelayernorm import (
        ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        RobertaPreLayerNormConfig,
    )
Weiwe Shi's avatar
Weiwe Shi committed
4328
    from .models.roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig, RoCBertTokenizer
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    from .models.roformer import ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, RoFormerConfig, RoFormerTokenizer
Sylvain Gugger's avatar
Sylvain Gugger committed
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    from .models.rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig
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    from .models.sam import (
        SAM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        SamConfig,
        SamMaskDecoderConfig,
        SamProcessor,
        SamPromptEncoderConfig,
        SamVisionConfig,
    )
NielsRogge's avatar
NielsRogge committed
4339
    from .models.segformer import SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, SegformerConfig
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    from .models.sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig
    from .models.sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig
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    from .models.speech_encoder_decoder import SpeechEncoderDecoderConfig
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    from .models.speech_to_text import (
        SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Speech2TextConfig,
        Speech2TextProcessor,
    )
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    from .models.speech_to_text_2 import (
        SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Speech2Text2Config,
        Speech2Text2Processor,
        Speech2Text2Tokenizer,
    )
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    from .models.speecht5 import (
        SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
        SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
        SpeechT5Config,
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        SpeechT5FeatureExtractor,
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        SpeechT5HifiGanConfig,
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        SpeechT5Processor,
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    )
Ori Ram's avatar
Ori Ram committed
4362
    from .models.splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig, SplinterTokenizer
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    from .models.squeezebert import SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, SqueezeBertConfig, SqueezeBertTokenizer
Shehan Munasinghe's avatar
Shehan Munasinghe committed
4364
    from .models.swiftformer import SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, SwiftFormerConfig
novice's avatar
novice committed
4365
    from .models.swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig
NielsRogge's avatar
NielsRogge committed
4366
    from .models.swin2sr import SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP, Swin2SRConfig
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    from .models.swinv2 import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, Swinv2Config
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    from .models.switch_transformers import SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP, SwitchTransformersConfig
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    from .models.t5 import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, T5Config
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    from .models.table_transformer import TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TableTransformerConfig
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    from .models.tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig, TapasTokenizer
NielsRogge's avatar
NielsRogge committed
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    from .models.tapex import TapexTokenizer
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    from .models.time_series_transformer import (
        TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TimeSeriesTransformerConfig,
    )
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    from .models.timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig
amyeroberts's avatar
amyeroberts committed
4378
    from .models.timm_backbone import TimmBackboneConfig
Carl's avatar
Carl committed
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    from .models.trajectory_transformer import (
        TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TrajectoryTransformerConfig,
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
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    from .models.transfo_xl import (
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        TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TransfoXLConfig,
        TransfoXLCorpus,
        TransfoXLTokenizer,
    )
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    from .models.trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig, TrOCRProcessor
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    from .models.tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig, TvltFeatureExtractor, TvltProcessor
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    from .models.umt5 import UMT5Config
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    from .models.unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig
    from .models.unispeech_sat import UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechSatConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.upernet import UperNetConfig
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    from .models.van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig
amyeroberts's avatar
amyeroberts committed
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    from .models.vilt import (
        VILT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ViltConfig,
        ViltFeatureExtractor,
        ViltImageProcessor,
        ViltProcessor,
    )
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    from .models.vision_encoder_decoder import VisionEncoderDecoderConfig
Suraj Patil's avatar
Suraj Patil committed
4405
    from .models.vision_text_dual_encoder import VisionTextDualEncoderConfig, VisionTextDualEncoderProcessor
Gunjan Chhablani's avatar
Gunjan Chhablani committed
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    from .models.visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig
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    from .models.vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig
NielsRogge's avatar
NielsRogge committed
4408
    from .models.vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig
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    from .models.vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig
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    from .models.wav2vec2 import (
        WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Wav2Vec2Config,
        Wav2Vec2CTCTokenizer,
        Wav2Vec2FeatureExtractor,
        Wav2Vec2Processor,
        Wav2Vec2Tokenizer,
    )
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    from .models.wav2vec2_conformer import WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Wav2Vec2ConformerConfig
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    from .models.wav2vec2_phoneme import Wav2Vec2PhonemeCTCTokenizer
Sylvain Gugger's avatar
Sylvain Gugger committed
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    from .models.wav2vec2_with_lm import Wav2Vec2ProcessorWithLM
Patrick von Platen's avatar
Patrick von Platen committed
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    from .models.wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig
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    from .models.whisper import (
        WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        WhisperConfig,
        WhisperFeatureExtractor,
        WhisperProcessor,
        WhisperTokenizer,
    )
NielsRogge's avatar
NielsRogge committed
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    from .models.x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPProcessor,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
Suraj Patil's avatar
Suraj Patil committed
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    from .models.xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig
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    from .models.xlm import XLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMConfig, XLMTokenizer
    from .models.xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig
    from .models.xlm_roberta import XLM_ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMRobertaConfig
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    from .models.xlm_roberta_xl import XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMRobertaXLConfig
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    from .models.xlnet import XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLNetConfig
Jannis Vamvas's avatar
Jannis Vamvas committed
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    from .models.xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig
novice's avatar
novice committed
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    from .models.yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig
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    # Pipelines
    from .pipelines import (
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        AudioClassificationPipeline,
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        AutomaticSpeechRecognitionPipeline,
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        Conversation,
        ConversationalPipeline,
        CsvPipelineDataFormat,
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        DepthEstimationPipeline,
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        DocumentQuestionAnsweringPipeline,
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        FeatureExtractionPipeline,
        FillMaskPipeline,
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        ImageClassificationPipeline,
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        ImageSegmentationPipeline,
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        ImageToTextPipeline,
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        JsonPipelineDataFormat,
        NerPipeline,
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        ObjectDetectionPipeline,
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        PipedPipelineDataFormat,
        Pipeline,
        PipelineDataFormat,
        QuestionAnsweringPipeline,
        SummarizationPipeline,
        TableQuestionAnsweringPipeline,
        Text2TextGenerationPipeline,
        TextClassificationPipeline,
        TextGenerationPipeline,
        TokenClassificationPipeline,
        TranslationPipeline,
4475
        VideoClassificationPipeline,
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        VisualQuestionAnsweringPipeline,
4477
        ZeroShotAudioClassificationPipeline,
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        ZeroShotClassificationPipeline,
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        ZeroShotImageClassificationPipeline,
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        ZeroShotObjectDetectionPipeline,
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        pipeline,
    )
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    from .processing_utils import ProcessorMixin
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    # Tokenization
    from .tokenization_utils import PreTrainedTokenizer
    from .tokenization_utils_base import (
        AddedToken,
        BatchEncoding,
        CharSpan,
        PreTrainedTokenizerBase,
        SpecialTokensMixin,
        TokenSpan,
    )
Lysandre's avatar
Lysandre committed
4495

Sylvain Gugger's avatar
Sylvain Gugger committed
4496
    # Tools
Sylvain Gugger's avatar
Sylvain Gugger committed
4497
4498
    from .tools import (
        Agent,
Sylvain Gugger's avatar
Sylvain Gugger committed
4499
        AzureOpenAiAgent,
Sylvain Gugger's avatar
Sylvain Gugger committed
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        HfAgent,
        LocalAgent,
        OpenAiAgent,
        PipelineTool,
        RemoteTool,
        Tool,
        launch_gradio_demo,
        load_tool,
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
4509

Julien Plu's avatar
Julien Plu committed
4510
    # Trainer
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    from .trainer_callback import (
        DefaultFlowCallback,
        EarlyStoppingCallback,
        PrinterCallback,
        ProgressCallback,
        TrainerCallback,
        TrainerControl,
        TrainerState,
    )
4520
    from .trainer_utils import EvalPrediction, IntervalStrategy, SchedulerType, enable_full_determinism, set_seed
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    from .training_args import TrainingArguments
    from .training_args_seq2seq import Seq2SeqTrainingArguments
    from .training_args_tf import TFTrainingArguments
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    # Files and general utilities
    from .utils import (
        CONFIG_NAME,
        MODEL_CARD_NAME,
        PYTORCH_PRETRAINED_BERT_CACHE,
        PYTORCH_TRANSFORMERS_CACHE,
        SPIECE_UNDERLINE,
        TF2_WEIGHTS_NAME,
        TF_WEIGHTS_NAME,
        TRANSFORMERS_CACHE,
        WEIGHTS_NAME,
        TensorType,
        add_end_docstrings,
        add_start_docstrings,
        is_apex_available,
4540
        is_bitsandbytes_available,
4541
        is_datasets_available,
4542
        is_decord_available,
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4544
        is_faiss_available,
        is_flax_available,
Matt's avatar
Matt committed
4545
        is_keras_nlp_available,
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4549
        is_phonemizer_available,
        is_psutil_available,
        is_py3nvml_available,
        is_pyctcdecode_available,
4550
        is_safetensors_available,
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        is_scipy_available,
        is_sentencepiece_available,
        is_sklearn_available,
        is_speech_available,
4555
        is_tensorflow_text_available,
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4559
        is_tf_available,
        is_timm_available,
        is_tokenizers_available,
        is_torch_available,
4560
        is_torch_neuroncore_available,
4561
        is_torch_tpu_available,
NielsRogge's avatar
NielsRogge committed
4562
        is_torchvision_available,
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        is_vision_available,
        logging,
    )
Julien Plu's avatar
Julien Plu committed
4566

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    # bitsandbytes config
    from .utils.quantization_config import BitsAndBytesConfig

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    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_sentencepiece_objects import *
    else:
4576
4577
        from .models.albert import AlbertTokenizer
        from .models.barthez import BarthezTokenizer
4578
        from .models.bartpho import BartphoTokenizer
4579
        from .models.bert_generation import BertGenerationTokenizer
4580
        from .models.big_bird import BigBirdTokenizer
4581
        from .models.camembert import CamembertTokenizer
4582
        from .models.cpm import CpmTokenizer
4583
        from .models.deberta_v2 import DebertaV2Tokenizer
4584
        from .models.ernie_m import ErnieMTokenizer
4585
        from .models.fnet import FNetTokenizer
4586
        from .models.gpt_sw3 import GPTSw3Tokenizer
4587
        from .models.layoutxlm import LayoutXLMTokenizer
Jason Phang's avatar
Jason Phang committed
4588
        from .models.llama import LlamaTokenizer
4589
        from .models.m2m_100 import M2M100Tokenizer
4590
        from .models.marian import MarianTokenizer
Suraj Patil's avatar
Suraj Patil committed
4591
        from .models.mbart import MBart50Tokenizer, MBartTokenizer
Ryokan RI's avatar
Ryokan RI committed
4592
        from .models.mluke import MLukeTokenizer
4593
        from .models.mt5 import MT5Tokenizer
Lysandre Debut's avatar
Lysandre Debut committed
4594
        from .models.nllb import NllbTokenizer
4595
        from .models.pegasus import PegasusTokenizer
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4596
        from .models.plbart import PLBartTokenizer
4597
        from .models.reformer import ReformerTokenizer
4598
        from .models.rembert import RemBertTokenizer
4599
        from .models.speech_to_text import Speech2TextTokenizer
4600
        from .models.speecht5 import SpeechT5Tokenizer
4601
        from .models.t5 import T5Tokenizer
Suraj Patil's avatar
Suraj Patil committed
4602
        from .models.xglm import XGLMTokenizer
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        from .models.xlm_prophetnet import XLMProphetNetTokenizer
        from .models.xlm_roberta import XLMRobertaTokenizer
        from .models.xlnet import XLNetTokenizer
4606

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    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tokenizers_objects import *
    else:
        # Fast tokenizers imports
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        from .models.albert import AlbertTokenizerFast
        from .models.bart import BartTokenizerFast
        from .models.barthez import BarthezTokenizerFast
        from .models.bert import BertTokenizerFast
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        from .models.big_bird import BigBirdTokenizerFast
4619
        from .models.blenderbot import BlenderbotTokenizerFast
4620
        from .models.blenderbot_small import BlenderbotSmallTokenizerFast
Younes Belkada's avatar
Younes Belkada committed
4621
        from .models.bloom import BloomTokenizerFast
4622
        from .models.camembert import CamembertTokenizerFast
Suraj Patil's avatar
Suraj Patil committed
4623
        from .models.clip import CLIPTokenizerFast
rooa's avatar
rooa committed
4624
        from .models.codegen import CodeGenTokenizerFast
abhishek thakur's avatar
abhishek thakur committed
4625
        from .models.convbert import ConvBertTokenizerFast
4626
        from .models.cpm import CpmTokenizerFast
4627
        from .models.deberta import DebertaTokenizerFast
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        from .models.deberta_v2 import DebertaV2TokenizerFast
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        from .models.distilbert import DistilBertTokenizerFast
        from .models.dpr import DPRContextEncoderTokenizerFast, DPRQuestionEncoderTokenizerFast, DPRReaderTokenizerFast
        from .models.electra import ElectraTokenizerFast
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4632
        from .models.fnet import FNetTokenizerFast
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4634
        from .models.funnel import FunnelTokenizerFast
        from .models.gpt2 import GPT2TokenizerFast
4635
        from .models.gpt_neox import GPTNeoXTokenizerFast
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        from .models.gpt_neox_japanese import GPTNeoXJapaneseTokenizer
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4638
        from .models.herbert import HerbertTokenizerFast
        from .models.layoutlm import LayoutLMTokenizerFast
4639
        from .models.layoutlmv2 import LayoutLMv2TokenizerFast
NielsRogge's avatar
NielsRogge committed
4640
        from .models.layoutlmv3 import LayoutLMv3TokenizerFast
4641
        from .models.layoutxlm import LayoutXLMTokenizerFast
4642
        from .models.led import LEDTokenizerFast
4643
        from .models.llama import LlamaTokenizerFast
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4645
        from .models.longformer import LongformerTokenizerFast
        from .models.lxmert import LxmertTokenizerFast
NielsRogge's avatar
NielsRogge committed
4646
        from .models.markuplm import MarkupLMTokenizerFast
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4648
        from .models.mbart import MBartTokenizerFast
        from .models.mbart50 import MBart50TokenizerFast
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4651
        from .models.mobilebert import MobileBertTokenizerFast
        from .models.mpnet import MPNetTokenizerFast
        from .models.mt5 import MT5TokenizerFast
StevenTang1998's avatar
StevenTang1998 committed
4652
        from .models.mvp import MvpTokenizerFast
Lysandre Debut's avatar
Lysandre Debut committed
4653
        from .models.nllb import NllbTokenizerFast
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4655
        from .models.openai import OpenAIGPTTokenizerFast
        from .models.pegasus import PegasusTokenizerFast
4656
        from .models.realm import RealmTokenizerFast
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        from .models.reformer import ReformerTokenizerFast
4658
        from .models.rembert import RemBertTokenizerFast
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4660
        from .models.retribert import RetriBertTokenizerFast
        from .models.roberta import RobertaTokenizerFast
4661
        from .models.roformer import RoFormerTokenizerFast
Ori Ram's avatar
Ori Ram committed
4662
        from .models.splinter import SplinterTokenizerFast
4663
4664
        from .models.squeezebert import SqueezeBertTokenizerFast
        from .models.t5 import T5TokenizerFast
4665
        from .models.whisper import WhisperTokenizerFast
Suraj Patil's avatar
Suraj Patil committed
4666
        from .models.xglm import XGLMTokenizerFast
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        from .models.xlm_roberta import XLMRobertaTokenizerFast
        from .models.xlnet import XLNetTokenizerFast
        from .tokenization_utils_fast import PreTrainedTokenizerFast
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    try:
        if not (is_sentencepiece_available() and is_tokenizers_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummies_sentencepiece_and_tokenizers_objects import *
4676
    else:
4677
4678
        from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS, convert_slow_tokenizer

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4682
    try:
        if not is_speech_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
4683
        from .utils.dummy_speech_objects import *
4684
    else:
4685
        from .models.audio_spectrogram_transformer import ASTFeatureExtractor
4686
4687
        from .models.speech_to_text import Speech2TextFeatureExtractor

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4695
    try:
        if not is_tensorflow_text_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tensorflow_text_objects import *
    else:
        from .models.bert import TFBertTokenizer

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    try:
        if not is_keras_nlp_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_keras_nlp_objects import *
    else:
        from .models.gpt2 import TFGPT2Tokenizer

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4709
    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_vision_objects import *
    else:
amyeroberts's avatar
amyeroberts committed
4710
        from .image_processing_utils import ImageProcessingMixin
4711
        from .image_utils import ImageFeatureExtractionMixin
amyeroberts's avatar
amyeroberts committed
4712
        from .models.beit import BeitFeatureExtractor, BeitImageProcessor
NielsRogge's avatar
NielsRogge committed
4713
        from .models.bit import BitImageProcessor
Younes Belkada's avatar
Younes Belkada committed
4714
        from .models.blip import BlipImageProcessor
4715
        from .models.bridgetower import BridgeTowerImageProcessor
4716
        from .models.chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor
amyeroberts's avatar
amyeroberts committed
4717
        from .models.clip import CLIPFeatureExtractor, CLIPImageProcessor
4718
        from .models.conditional_detr import ConditionalDetrFeatureExtractor, ConditionalDetrImageProcessor
amyeroberts's avatar
amyeroberts committed
4719
        from .models.convnext import ConvNextFeatureExtractor, ConvNextImageProcessor
4720
        from .models.deformable_detr import DeformableDetrFeatureExtractor, DeformableDetrImageProcessor
amyeroberts's avatar
amyeroberts committed
4721
        from .models.deit import DeiTFeatureExtractor, DeiTImageProcessor
NielsRogge's avatar
NielsRogge committed
4722
        from .models.deta import DetaImageProcessor
4723
        from .models.detr import DetrFeatureExtractor, DetrImageProcessor
4724
        from .models.donut import DonutFeatureExtractor, DonutImageProcessor
amyeroberts's avatar
amyeroberts committed
4725
        from .models.dpt import DPTFeatureExtractor, DPTImageProcessor
4726
        from .models.efficientformer import EfficientFormerImageProcessor
Alara Dirik's avatar
Alara Dirik committed
4727
        from .models.efficientnet import EfficientNetImageProcessor
amyeroberts's avatar
amyeroberts committed
4728
4729
4730
4731
4732
4733
        from .models.flava import FlavaFeatureExtractor, FlavaImageProcessor, FlavaProcessor
        from .models.glpn import GLPNFeatureExtractor, GLPNImageProcessor
        from .models.imagegpt import ImageGPTFeatureExtractor, ImageGPTImageProcessor
        from .models.layoutlmv2 import LayoutLMv2FeatureExtractor, LayoutLMv2ImageProcessor
        from .models.layoutlmv3 import LayoutLMv3FeatureExtractor, LayoutLMv3ImageProcessor
        from .models.levit import LevitFeatureExtractor, LevitImageProcessor
4734
        from .models.mask2former import Mask2FormerImageProcessor
4735
        from .models.maskformer import MaskFormerFeatureExtractor, MaskFormerImageProcessor
4736
        from .models.mobilenet_v1 import MobileNetV1FeatureExtractor, MobileNetV1ImageProcessor
4737
        from .models.mobilenet_v2 import MobileNetV2FeatureExtractor, MobileNetV2ImageProcessor
amyeroberts's avatar
amyeroberts committed
4738
        from .models.mobilevit import MobileViTFeatureExtractor, MobileViTImageProcessor
Jitesh Jain's avatar
Jitesh Jain committed
4739
        from .models.oneformer import OneFormerImageProcessor
4740
        from .models.owlvit import OwlViTFeatureExtractor, OwlViTImageProcessor
amyeroberts's avatar
amyeroberts committed
4741
        from .models.perceiver import PerceiverFeatureExtractor, PerceiverImageProcessor
Younes Belkada's avatar
Younes Belkada committed
4742
        from .models.pix2struct import Pix2StructImageProcessor
amyeroberts's avatar
amyeroberts committed
4743
        from .models.poolformer import PoolFormerFeatureExtractor, PoolFormerImageProcessor
4744
        from .models.sam import SamImageProcessor
amyeroberts's avatar
amyeroberts committed
4745
        from .models.segformer import SegformerFeatureExtractor, SegformerImageProcessor
NielsRogge's avatar
NielsRogge committed
4746
        from .models.swin2sr import Swin2SRImageProcessor
Zineng Tang's avatar
Zineng Tang committed
4747
        from .models.tvlt import TvltImageProcessor
amyeroberts's avatar
amyeroberts committed
4748
4749
4750
        from .models.videomae import VideoMAEFeatureExtractor, VideoMAEImageProcessor
        from .models.vilt import ViltFeatureExtractor, ViltImageProcessor, ViltProcessor
        from .models.vit import ViTFeatureExtractor, ViTImageProcessor
NielsRogge's avatar
NielsRogge committed
4751
        from .models.vit_hybrid import ViTHybridImageProcessor
4752
        from .models.yolos import YolosFeatureExtractor, YolosImageProcessor
4753

4754
    # Modeling
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4757
4758
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4760
    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_pt_objects import *
    else:
4761
4762
4763
4764
4765
4766
4767
4768
4769
4770
4771
4772
4773
4774
        # Benchmarks
        from .benchmark.benchmark import PyTorchBenchmark
        from .benchmark.benchmark_args import PyTorchBenchmarkArguments
        from .data.datasets import (
            GlueDataset,
            GlueDataTrainingArguments,
            LineByLineTextDataset,
            LineByLineWithRefDataset,
            LineByLineWithSOPTextDataset,
            SquadDataset,
            SquadDataTrainingArguments,
            TextDataset,
            TextDatasetForNextSentencePrediction,
        )
4775
4776
4777
4778
        from .generation import (
            BeamScorer,
            BeamSearchScorer,
            ConstrainedBeamSearchScorer,
4779
4780
4781
            Constraint,
            ConstraintListState,
            DisjunctiveConstraint,
4782
4783
            ForcedBOSTokenLogitsProcessor,
            ForcedEOSTokenLogitsProcessor,
4784
            GenerationMixin,
4785
            HammingDiversityLogitsProcessor,
4786
            InfNanRemoveLogitsProcessor,
4787
4788
4789
            LogitsProcessor,
            LogitsProcessorList,
            LogitsWarper,
4790
4791
            MaxLengthCriteria,
            MaxTimeCriteria,
4792
            MinLengthLogitsProcessor,
4793
            MinNewTokensLengthLogitsProcessor,
4794
4795
            NoBadWordsLogitsProcessor,
            NoRepeatNGramLogitsProcessor,
4796
            PhrasalConstraint,
4797
4798
            PrefixConstrainedLogitsProcessor,
            RepetitionPenaltyLogitsProcessor,
4799
            SequenceBiasLogitsProcessor,
4800
4801
            StoppingCriteria,
            StoppingCriteriaList,
4802
4803
4804
            TemperatureLogitsWarper,
            TopKLogitsWarper,
            TopPLogitsWarper,
4805
            TypicalLogitsWarper,
4806
            top_k_top_p_filtering,
4807
        )
Sylvain Gugger's avatar
Sylvain Gugger committed
4808
        from .modeling_utils import PreTrainedModel
4809
4810

        # PyTorch model imports
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4818
4819
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4822
        from .models.albert import (
            ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            AlbertForMaskedLM,
            AlbertForMultipleChoice,
            AlbertForPreTraining,
            AlbertForQuestionAnswering,
            AlbertForSequenceClassification,
            AlbertForTokenClassification,
            AlbertModel,
            AlbertPreTrainedModel,
            load_tf_weights_in_albert,
        )
4823
4824
4825
4826
4827
4828
4829
        from .models.align import (
            ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
            AlignModel,
            AlignPreTrainedModel,
            AlignTextModel,
            AlignVisionModel,
        )
Jongjyh's avatar
Jongjyh committed
4830
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4832
4833
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4836
        from .models.altclip import (
            ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            AltCLIPModel,
            AltCLIPPreTrainedModel,
            AltCLIPTextModel,
            AltCLIPVisionModel,
        )
4837
4838
4839
4840
4841
4842
        from .models.audio_spectrogram_transformer import (
            AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ASTForAudioClassification,
            ASTModel,
            ASTPreTrainedModel,
        )
4843
        from .models.auto import (
4844
            MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
4845
            MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING,
4846
            MODEL_FOR_AUDIO_XVECTOR_MAPPING,
4847
            MODEL_FOR_BACKBONE_MAPPING,
NielsRogge's avatar
NielsRogge committed
4848
            MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING,
4849
            MODEL_FOR_CAUSAL_LM_MAPPING,
4850
            MODEL_FOR_CTC_MAPPING,
4851
            MODEL_FOR_DEPTH_ESTIMATION_MAPPING,
4852
            MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
4853
            MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
4854
            MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
4855
            MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
4856
            MODEL_FOR_MASK_GENERATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
4857
            MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
4858
4859
4860
            MODEL_FOR_MASKED_LM_MAPPING,
            MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
NielsRogge's avatar
NielsRogge committed
4861
            MODEL_FOR_OBJECT_DETECTION_MAPPING,
4862
4863
            MODEL_FOR_PRETRAINING_MAPPING,
            MODEL_FOR_QUESTION_ANSWERING_MAPPING,
4864
            MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
4865
4866
            MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
4867
            MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
4868
            MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
4869
            MODEL_FOR_TEXT_ENCODING_MAPPING,
4870
            MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
4871
            MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
4872
            MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING,
4873
            MODEL_FOR_VISION_2_SEQ_MAPPING,
4874
            MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING,
4875
            MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
4876
            MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING,
4877
4878
            MODEL_MAPPING,
            MODEL_WITH_LM_HEAD_MAPPING,
4879
            AutoBackbone,
4880
            AutoModel,
4881
            AutoModelForAudioClassification,
4882
4883
            AutoModelForAudioFrameClassification,
            AutoModelForAudioXVector,
4884
            AutoModelForCausalLM,
4885
            AutoModelForCTC,
4886
            AutoModelForDepthEstimation,
4887
            AutoModelForDocumentQuestionAnswering,
4888
            AutoModelForImageClassification,
4889
            AutoModelForImageSegmentation,
4890
            AutoModelForInstanceSegmentation,
NielsRogge's avatar
NielsRogge committed
4891
            AutoModelForMaskedImageModeling,
4892
            AutoModelForMaskedLM,
4893
            AutoModelForMaskGeneration,
4894
4895
            AutoModelForMultipleChoice,
            AutoModelForNextSentencePrediction,
4896
            AutoModelForObjectDetection,
4897
4898
            AutoModelForPreTraining,
            AutoModelForQuestionAnswering,
4899
            AutoModelForSemanticSegmentation,
4900
4901
            AutoModelForSeq2SeqLM,
            AutoModelForSequenceClassification,
4902
            AutoModelForSpeechSeq2Seq,
4903
            AutoModelForTableQuestionAnswering,
4904
            AutoModelForTextEncoding,
4905
            AutoModelForTokenClassification,
4906
            AutoModelForUniversalSegmentation,
NielsRogge's avatar
NielsRogge committed
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            AutoModelForVideoClassification,
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            AutoModelForVision2Seq,
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            AutoModelForVisualQuestionAnswering,
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            AutoModelForZeroShotImageClassification,
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            AutoModelForZeroShotObjectDetection,
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            AutoModelWithLMHead,
        )
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        from .models.autoformer import (
            AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            AutoformerForPrediction,
            AutoformerModel,
            AutoformerPreTrainedModel,
        )
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        from .models.bart import (
            BART_PRETRAINED_MODEL_ARCHIVE_LIST,
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            BartForCausalLM,
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            BartForConditionalGeneration,
            BartForQuestionAnswering,
            BartForSequenceClassification,
            BartModel,
            BartPretrainedModel,
            PretrainedBartModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.beit import (
            BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BeitForImageClassification,
            BeitForMaskedImageModeling,
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            BeitForSemanticSegmentation,
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            BeitModel,
            BeitPreTrainedModel,
        )
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        from .models.bert import (
            BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BertForMaskedLM,
            BertForMultipleChoice,
            BertForNextSentencePrediction,
            BertForPreTraining,
            BertForQuestionAnswering,
            BertForSequenceClassification,
            BertForTokenClassification,
            BertLayer,
            BertLMHeadModel,
            BertModel,
            BertPreTrainedModel,
            load_tf_weights_in_bert,
        )
        from .models.bert_generation import (
            BertGenerationDecoder,
            BertGenerationEncoder,
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            BertGenerationPreTrainedModel,
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            load_tf_weights_in_bert_generation,
        )
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        from .models.big_bird import (
            BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdForCausalLM,
            BigBirdForMaskedLM,
            BigBirdForMultipleChoice,
            BigBirdForPreTraining,
            BigBirdForQuestionAnswering,
            BigBirdForSequenceClassification,
            BigBirdForTokenClassification,
            BigBirdLayer,
            BigBirdModel,
            BigBirdPreTrainedModel,
            load_tf_weights_in_big_bird,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
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        from .models.bigbird_pegasus import (
            BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdPegasusForCausalLM,
            BigBirdPegasusForConditionalGeneration,
            BigBirdPegasusForQuestionAnswering,
            BigBirdPegasusForSequenceClassification,
            BigBirdPegasusModel,
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            BigBirdPegasusPreTrainedModel,
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Vasudev Gupta committed
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        )
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Kamal Raj Kanakarajan committed
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        from .models.biogpt import (
            BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BioGptForCausalLM,
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            BioGptForSequenceClassification,
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            BioGptForTokenClassification,
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            BioGptModel,
            BioGptPreTrainedModel,
        )
NielsRogge's avatar
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        from .models.bit import (
            BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BitBackbone,
            BitForImageClassification,
            BitModel,
            BitPreTrainedModel,
        )
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        from .models.blenderbot import (
            BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            BlenderbotForCausalLM,
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            BlenderbotForConditionalGeneration,
            BlenderbotModel,
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            BlenderbotPreTrainedModel,
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        )
        from .models.blenderbot_small import (
            BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
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            BlenderbotSmallForCausalLM,
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            BlenderbotSmallForConditionalGeneration,
            BlenderbotSmallModel,
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            BlenderbotSmallPreTrainedModel,
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        )
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Younes Belkada committed
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        from .models.blip import (
            BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            BlipForConditionalGeneration,
            BlipForImageTextRetrieval,
            BlipForQuestionAnswering,
            BlipModel,
            BlipPreTrainedModel,
            BlipTextModel,
            BlipVisionModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.blip_2 import (
            BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            Blip2ForConditionalGeneration,
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            Blip2Model,
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            Blip2PreTrainedModel,
            Blip2QFormerModel,
            Blip2VisionModel,
        )
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Younes Belkada committed
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        from .models.bloom import (
            BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
            BloomForCausalLM,
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            BloomForQuestionAnswering,
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            BloomForSequenceClassification,
            BloomForTokenClassification,
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Younes Belkada committed
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            BloomModel,
            BloomPreTrainedModel,
        )
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        from .models.bridgetower import (
            BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
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            BridgeTowerForContrastiveLearning,
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            BridgeTowerForImageAndTextRetrieval,
            BridgeTowerForMaskedLM,
            BridgeTowerModel,
            BridgeTowerPreTrainedModel,
        )
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        from .models.camembert import (
            CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CamembertForCausalLM,
            CamembertForMaskedLM,
            CamembertForMultipleChoice,
            CamembertForQuestionAnswering,
            CamembertForSequenceClassification,
            CamembertForTokenClassification,
            CamembertModel,
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            CamembertPreTrainedModel,
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        )
NielsRogge's avatar
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        from .models.canine import (
            CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
            CanineForMultipleChoice,
            CanineForQuestionAnswering,
            CanineForSequenceClassification,
            CanineForTokenClassification,
            CanineLayer,
            CanineModel,
            CaninePreTrainedModel,
            load_tf_weights_in_canine,
        )
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        from .models.chinese_clip import (
            CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            ChineseCLIPModel,
            ChineseCLIPPreTrainedModel,
            ChineseCLIPTextModel,
            ChineseCLIPVisionModel,
        )
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        from .models.clap import (
            CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
            ClapAudioModel,
            ClapAudioModelWithProjection,
            ClapFeatureExtractor,
            ClapModel,
            ClapPreTrainedModel,
            ClapTextModel,
            ClapTextModelWithProjection,
        )
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Suraj Patil committed
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        from .models.clip import (
            CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPModel,
            CLIPPreTrainedModel,
            CLIPTextModel,
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            CLIPTextModelWithProjection,
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            CLIPVisionModel,
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            CLIPVisionModelWithProjection,
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Suraj Patil committed
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        )
NielsRogge's avatar
NielsRogge committed
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        from .models.clipseg import (
            CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPSegForImageSegmentation,
            CLIPSegModel,
            CLIPSegPreTrainedModel,
            CLIPSegTextModel,
            CLIPSegVisionModel,
        )
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        from .models.codegen import (
            CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
            CodeGenForCausalLM,
            CodeGenModel,
            CodeGenPreTrainedModel,
        )
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        from .models.conditional_detr import (
            CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConditionalDetrForObjectDetection,
            ConditionalDetrForSegmentation,
            ConditionalDetrModel,
            ConditionalDetrPreTrainedModel,
        )
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abhishek thakur committed
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        from .models.convbert import (
            CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvBertForMaskedLM,
            ConvBertForMultipleChoice,
            ConvBertForQuestionAnswering,
            ConvBertForSequenceClassification,
            ConvBertForTokenClassification,
            ConvBertLayer,
            ConvBertModel,
            ConvBertPreTrainedModel,
            load_tf_weights_in_convbert,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.convnext import (
            CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            ConvNextBackbone,
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            ConvNextForImageClassification,
            ConvNextModel,
            ConvNextPreTrainedModel,
        )
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Alara Dirik committed
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        from .models.convnextv2 import (
            CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvNextV2Backbone,
            ConvNextV2ForImageClassification,
            ConvNextV2Model,
            ConvNextV2PreTrainedModel,
        )
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        from .models.cpmant import (
            CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CpmAntForCausalLM,
            CpmAntModel,
            CpmAntPreTrainedModel,
        )
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        from .models.ctrl import (
            CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            CTRLForSequenceClassification,
            CTRLLMHeadModel,
            CTRLModel,
            CTRLPreTrainedModel,
        )
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NielsRogge committed
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        from .models.cvt import (
            CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CvtForImageClassification,
            CvtModel,
            CvtPreTrainedModel,
        )
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        from .models.data2vec import (
            DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST,
            DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST,
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            Data2VecAudioForAudioFrameClassification,
            Data2VecAudioForCTC,
            Data2VecAudioForSequenceClassification,
            Data2VecAudioForXVector,
            Data2VecAudioModel,
            Data2VecAudioPreTrainedModel,
            Data2VecTextForCausalLM,
            Data2VecTextForMaskedLM,
            Data2VecTextForMultipleChoice,
            Data2VecTextForQuestionAnswering,
            Data2VecTextForSequenceClassification,
            Data2VecTextForTokenClassification,
            Data2VecTextModel,
            Data2VecTextPreTrainedModel,
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            Data2VecVisionForImageClassification,
            Data2VecVisionForSemanticSegmentation,
            Data2VecVisionModel,
            Data2VecVisionPreTrainedModel,
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        )
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        from .models.deberta import (
            DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
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            DebertaForMaskedLM,
            DebertaForQuestionAnswering,
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            DebertaForSequenceClassification,
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            DebertaForTokenClassification,
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            DebertaModel,
            DebertaPreTrainedModel,
        )
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        from .models.deberta_v2 import (
            DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            DebertaV2ForMaskedLM,
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            DebertaV2ForMultipleChoice,
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            DebertaV2ForQuestionAnswering,
            DebertaV2ForSequenceClassification,
            DebertaV2ForTokenClassification,
            DebertaV2Model,
            DebertaV2PreTrainedModel,
        )
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        from .models.decision_transformer import (
            DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DecisionTransformerGPT2Model,
            DecisionTransformerGPT2PreTrainedModel,
            DecisionTransformerModel,
            DecisionTransformerPreTrainedModel,
        )
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        from .models.deformable_detr import (
            DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeformableDetrForObjectDetection,
            DeformableDetrModel,
            DeformableDetrPreTrainedModel,
        )
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NielsRogge committed
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        from .models.deit import (
            DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeiTForImageClassification,
            DeiTForImageClassificationWithTeacher,
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            DeiTForMaskedImageModeling,
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            DeiTModel,
            DeiTPreTrainedModel,
        )
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        from .models.deta import (
            DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetaForObjectDetection,
            DetaModel,
            DetaPreTrainedModel,
        )
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        from .models.detr import (
            DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetrForObjectDetection,
            DetrForSegmentation,
            DetrModel,
            DetrPreTrainedModel,
        )
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        from .models.dinat import (
            DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            DinatBackbone,
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            DinatForImageClassification,
            DinatModel,
            DinatPreTrainedModel,
        )
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        from .models.distilbert import (
            DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DistilBertForMaskedLM,
            DistilBertForMultipleChoice,
            DistilBertForQuestionAnswering,
            DistilBertForSequenceClassification,
            DistilBertForTokenClassification,
            DistilBertModel,
            DistilBertPreTrainedModel,
        )
NielsRogge's avatar
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        from .models.donut import DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST, DonutSwinModel, DonutSwinPreTrainedModel
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        from .models.dpr import (
            DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPRContextEncoder,
            DPRPretrainedContextEncoder,
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            DPRPreTrainedModel,
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            DPRPretrainedQuestionEncoder,
            DPRPretrainedReader,
            DPRQuestionEncoder,
            DPRReader,
        )
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        from .models.dpt import (
            DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPTForDepthEstimation,
            DPTForSemanticSegmentation,
            DPTModel,
            DPTPreTrainedModel,
        )
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        from .models.efficientformer import (
            EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            EfficientFormerForImageClassification,
            EfficientFormerForImageClassificationWithTeacher,
            EfficientFormerModel,
            EfficientFormerPreTrainedModel,
        )
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        from .models.efficientnet import (
            EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            EfficientNetForImageClassification,
            EfficientNetModel,
            EfficientNetPreTrainedModel,
        )
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        from .models.electra import (
            ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
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            ElectraForCausalLM,
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            ElectraForMaskedLM,
            ElectraForMultipleChoice,
            ElectraForPreTraining,
            ElectraForQuestionAnswering,
            ElectraForSequenceClassification,
            ElectraForTokenClassification,
            ElectraModel,
            ElectraPreTrainedModel,
            load_tf_weights_in_electra,
        )
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        from .models.encodec import (
            ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
            EncodecModel,
            EncodecPreTrainedModel,
        )
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        from .models.encoder_decoder import EncoderDecoderModel
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        from .models.ernie import (
            ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ErnieForCausalLM,
            ErnieForMaskedLM,
            ErnieForMultipleChoice,
            ErnieForNextSentencePrediction,
            ErnieForPreTraining,
            ErnieForQuestionAnswering,
            ErnieForSequenceClassification,
            ErnieForTokenClassification,
            ErnieModel,
            ErniePreTrainedModel,
        )
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        from .models.ernie_m import (
            ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST,
            ErnieMForInformationExtraction,
            ErnieMForMultipleChoice,
            ErnieMForQuestionAnswering,
            ErnieMForSequenceClassification,
            ErnieMForTokenClassification,
            ErnieMModel,
            ErnieMPreTrainedModel,
        )
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        from .models.esm import (
            ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
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            EsmFoldPreTrainedModel,
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            EsmForMaskedLM,
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            EsmForProteinFolding,
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            EsmForSequenceClassification,
            EsmForTokenClassification,
            EsmModel,
            EsmPreTrainedModel,
        )
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        from .models.flaubert import (
            FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaubertForMultipleChoice,
            FlaubertForQuestionAnswering,
            FlaubertForQuestionAnsweringSimple,
            FlaubertForSequenceClassification,
            FlaubertForTokenClassification,
            FlaubertModel,
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            FlaubertPreTrainedModel,
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            FlaubertWithLMHeadModel,
        )
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        from .models.flava import (
            FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlavaForPreTraining,
            FlavaImageCodebook,
            FlavaImageModel,
            FlavaModel,
            FlavaMultimodalModel,
            FlavaPreTrainedModel,
            FlavaTextModel,
        )
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        from .models.fnet import (
            FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            FNetForMaskedLM,
            FNetForMultipleChoice,
            FNetForNextSentencePrediction,
            FNetForPreTraining,
            FNetForQuestionAnswering,
            FNetForSequenceClassification,
            FNetForTokenClassification,
            FNetLayer,
            FNetModel,
            FNetPreTrainedModel,
        )
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        from .models.focalnet import (
            FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST,
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            FocalNetBackbone,
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            FocalNetForImageClassification,
            FocalNetForMaskedImageModeling,
            FocalNetModel,
            FocalNetPreTrainedModel,
        )
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        from .models.fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel
        from .models.funnel import (
            FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            FunnelBaseModel,
            FunnelForMaskedLM,
            FunnelForMultipleChoice,
            FunnelForPreTraining,
            FunnelForQuestionAnswering,
            FunnelForSequenceClassification,
            FunnelForTokenClassification,
            FunnelModel,
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            FunnelPreTrainedModel,
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            load_tf_weights_in_funnel,
        )
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        from .models.git import (
            GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GitForCausalLM,
            GitModel,
            GitPreTrainedModel,
            GitVisionModel,
        )
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        from .models.glpn import (
            GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
            GLPNForDepthEstimation,
            GLPNModel,
            GLPNPreTrainedModel,
        )
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        from .models.gpt2 import (
            GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPT2DoubleHeadsModel,
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            GPT2ForQuestionAnswering,
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            GPT2ForSequenceClassification,
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            GPT2ForTokenClassification,
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            GPT2LMHeadModel,
            GPT2Model,
            GPT2PreTrainedModel,
            load_tf_weights_in_gpt2,
        )
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        from .models.gpt_bigcode import (
            GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTBigCodeForCausalLM,
            GPTBigCodeForSequenceClassification,
            GPTBigCodeForTokenClassification,
            GPTBigCodeModel,
            GPTBigCodePreTrainedModel,
        )
Suraj Patil's avatar
Suraj Patil committed
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        from .models.gpt_neo import (
            GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoForCausalLM,
peter-sk's avatar
peter-sk committed
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            GPTNeoForQuestionAnswering,
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            GPTNeoForSequenceClassification,
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            GPTNeoForTokenClassification,
Suraj Patil's avatar
Suraj Patil committed
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            GPTNeoModel,
            GPTNeoPreTrainedModel,
            load_tf_weights_in_gpt_neo,
        )
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        from .models.gpt_neox import (
            GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoXForCausalLM,
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            GPTNeoXForQuestionAnswering,
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            GPTNeoXForSequenceClassification,
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            GPTNeoXForTokenClassification,
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            GPTNeoXLayer,
            GPTNeoXModel,
            GPTNeoXPreTrainedModel,
        )
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        from .models.gpt_neox_japanese import (
            GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoXJapaneseForCausalLM,
            GPTNeoXJapaneseLayer,
            GPTNeoXJapaneseModel,
            GPTNeoXJapanesePreTrainedModel,
        )
Stella Biderman's avatar
Stella Biderman committed
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        from .models.gptj import (
            GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTJForCausalLM,
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            GPTJForQuestionAnswering,
Stella Biderman's avatar
Stella Biderman committed
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            GPTJForSequenceClassification,
            GPTJModel,
            GPTJPreTrainedModel,
        )
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        from .models.gptsan_japanese import (
            GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTSanJapaneseForConditionalGeneration,
            GPTSanJapaneseModel,
            GPTSanJapanesePreTrainedModel,
        )
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        from .models.graphormer import (
            GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            GraphormerForGraphClassification,
            GraphormerModel,
            GraphormerPreTrainedModel,
        )
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        from .models.groupvit import (
            GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GroupViTModel,
            GroupViTPreTrainedModel,
            GroupViTTextModel,
            GroupViTVisionModel,
        )
Patrick von Platen's avatar
Patrick von Platen committed
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        from .models.hubert import (
            HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            HubertForCTC,
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            HubertForSequenceClassification,
Patrick von Platen's avatar
Patrick von Platen committed
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            HubertModel,
            HubertPreTrainedModel,
        )
Sehoon Kim's avatar
Sehoon Kim committed
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        from .models.ibert import (
            IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            IBertForMaskedLM,
            IBertForMultipleChoice,
            IBertForQuestionAnswering,
            IBertForSequenceClassification,
            IBertForTokenClassification,
            IBertModel,
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            IBertPreTrainedModel,
Sehoon Kim's avatar
Sehoon Kim committed
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        )
NielsRogge's avatar
NielsRogge committed
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        from .models.imagegpt import (
            IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
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            ImageGPTForCausalImageModeling,
NielsRogge's avatar
NielsRogge committed
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            ImageGPTForImageClassification,
            ImageGPTModel,
            ImageGPTPreTrainedModel,
            load_tf_weights_in_imagegpt,
        )
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        from .models.informer import (
            INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            InformerForPrediction,
            InformerModel,
            InformerPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.instructblip import (
            INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            InstructBlipForConditionalGeneration,
            InstructBlipPreTrainedModel,
            InstructBlipQFormerModel,
            InstructBlipVisionModel,
        )
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        from .models.jukebox import (
            JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
            JukeboxModel,
            JukeboxPreTrainedModel,
            JukeboxPrior,
            JukeboxVQVAE,
        )
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        from .models.layoutlm import (
            LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMForMaskedLM,
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            LayoutLMForQuestionAnswering,
NielsRogge's avatar
NielsRogge committed
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            LayoutLMForSequenceClassification,
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            LayoutLMForTokenClassification,
            LayoutLMModel,
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            LayoutLMPreTrainedModel,
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        )
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        from .models.layoutlmv2 import (
            LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv2ForQuestionAnswering,
            LayoutLMv2ForSequenceClassification,
            LayoutLMv2ForTokenClassification,
            LayoutLMv2Model,
            LayoutLMv2PreTrainedModel,
NielsRogge's avatar
NielsRogge committed
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        )
        from .models.layoutlmv3 import (
            LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv3ForQuestionAnswering,
            LayoutLMv3ForSequenceClassification,
            LayoutLMv3ForTokenClassification,
            LayoutLMv3Model,
            LayoutLMv3PreTrainedModel,
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        )
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        from .models.led import (
            LED_PRETRAINED_MODEL_ARCHIVE_LIST,
            LEDForConditionalGeneration,
            LEDForQuestionAnswering,
            LEDForSequenceClassification,
            LEDModel,
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            LEDPreTrainedModel,
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        )
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        from .models.levit import (
            LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            LevitForImageClassification,
            LevitForImageClassificationWithTeacher,
            LevitModel,
            LevitPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.lilt import (
            LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            LiltForQuestionAnswering,
            LiltForSequenceClassification,
            LiltForTokenClassification,
            LiltModel,
            LiltPreTrainedModel,
        )
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        from .models.llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel
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        from .models.longformer import (
            LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongformerForMaskedLM,
            LongformerForMultipleChoice,
            LongformerForQuestionAnswering,
            LongformerForSequenceClassification,
            LongformerForTokenClassification,
            LongformerModel,
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            LongformerPreTrainedModel,
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            LongformerSelfAttention,
        )
Daniel Stancl's avatar
Daniel Stancl committed
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        from .models.longt5 import (
            LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongT5EncoderModel,
            LongT5ForConditionalGeneration,
            LongT5Model,
            LongT5PreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.luke import (
            LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
            LukeForEntityClassification,
            LukeForEntityPairClassification,
            LukeForEntitySpanClassification,
Ryokan RI's avatar
Ryokan RI committed
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            LukeForMaskedLM,
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            LukeForMultipleChoice,
            LukeForQuestionAnswering,
            LukeForSequenceClassification,
            LukeForTokenClassification,
NielsRogge's avatar
NielsRogge committed
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            LukeModel,
            LukePreTrainedModel,
        )
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        from .models.lxmert import (
            LxmertEncoder,
            LxmertForPreTraining,
            LxmertForQuestionAnswering,
            LxmertModel,
            LxmertPreTrainedModel,
            LxmertVisualFeatureEncoder,
            LxmertXLayer,
        )
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        from .models.m2m_100 import (
            M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
            M2M100ForConditionalGeneration,
            M2M100Model,
            M2M100PreTrainedModel,
        )
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        from .models.marian import MarianForCausalLM, MarianModel, MarianMTModel
NielsRogge's avatar
NielsRogge committed
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        from .models.markuplm import (
            MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            MarkupLMForQuestionAnswering,
            MarkupLMForSequenceClassification,
            MarkupLMForTokenClassification,
            MarkupLMModel,
            MarkupLMPreTrainedModel,
        )
Alara Dirik's avatar
Alara Dirik committed
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        from .models.mask2former import (
            MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            Mask2FormerForUniversalSegmentation,
            Mask2FormerModel,
            Mask2FormerPreTrainedModel,
        )
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        from .models.maskformer import (
            MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            MaskFormerForInstanceSegmentation,
            MaskFormerModel,
            MaskFormerPreTrainedModel,
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            MaskFormerSwinBackbone,
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        )
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        from .models.mbart import (
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            MBartForCausalLM,
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            MBartForConditionalGeneration,
            MBartForQuestionAnswering,
            MBartForSequenceClassification,
            MBartModel,
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            MBartPreTrainedModel,
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        )
Chan Woo Kim's avatar
Chan Woo Kim committed
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        from .models.mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel
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        from .models.mega import (
            MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
            MegaForCausalLM,
            MegaForMaskedLM,
            MegaForMultipleChoice,
            MegaForQuestionAnswering,
            MegaForSequenceClassification,
            MegaForTokenClassification,
            MegaModel,
            MegaPreTrainedModel,
        )
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        from .models.megatron_bert import (
            MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MegatronBertForCausalLM,
            MegatronBertForMaskedLM,
            MegatronBertForMultipleChoice,
            MegatronBertForNextSentencePrediction,
            MegatronBertForPreTraining,
            MegatronBertForQuestionAnswering,
            MegatronBertForSequenceClassification,
            MegatronBertForTokenClassification,
            MegatronBertModel,
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            MegatronBertPreTrainedModel,
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        )
wangpeng's avatar
wangpeng committed
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        from .models.mgp_str import (
            MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
            MgpstrForSceneTextRecognition,
            MgpstrModel,
            MgpstrPreTrainedModel,
        )
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        from .models.mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings
        from .models.mobilebert import (
            MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileBertForMaskedLM,
            MobileBertForMultipleChoice,
            MobileBertForNextSentencePrediction,
            MobileBertForPreTraining,
            MobileBertForQuestionAnswering,
            MobileBertForSequenceClassification,
            MobileBertForTokenClassification,
            MobileBertLayer,
            MobileBertModel,
            MobileBertPreTrainedModel,
            load_tf_weights_in_mobilebert,
        )
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        from .models.mobilenet_v1 import (
            MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetV1ForImageClassification,
            MobileNetV1Model,
            MobileNetV1PreTrainedModel,
            load_tf_weights_in_mobilenet_v1,
        )
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        from .models.mobilenet_v2 import (
            MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetV2ForImageClassification,
            MobileNetV2ForSemanticSegmentation,
            MobileNetV2Model,
            MobileNetV2PreTrainedModel,
            load_tf_weights_in_mobilenet_v2,
        )
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        from .models.mobilevit import (
            MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTForImageClassification,
            MobileViTForSemanticSegmentation,
            MobileViTModel,
            MobileViTPreTrainedModel,
        )
Shehan Munasinghe's avatar
Shehan Munasinghe committed
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        from .models.mobilevitv2 import (
            MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTV2ForImageClassification,
            MobileViTV2ForSemanticSegmentation,
            MobileViTV2Model,
            MobileViTV2PreTrainedModel,
        )
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        from .models.mpnet import (
            MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            MPNetForMaskedLM,
            MPNetForMultipleChoice,
            MPNetForQuestionAnswering,
            MPNetForSequenceClassification,
            MPNetForTokenClassification,
            MPNetLayer,
            MPNetModel,
            MPNetPreTrainedModel,
        )
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        from .models.mt5 import (
            MT5EncoderModel,
            MT5ForConditionalGeneration,
            MT5ForQuestionAnswering,
            MT5Model,
            MT5PreTrainedModel,
        )
Sanchit Gandhi's avatar
Sanchit Gandhi committed
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        from .models.musicgen import (
            MUSICGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
            MusicgenForCausalLM,
            MusicgenForConditionalGeneration,
            MusicgenModel,
            MusicgenPreTrainedModel,
            MusicgenProcessor,
        )
StevenTang1998's avatar
StevenTang1998 committed
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        from .models.mvp import (
            MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
            MvpForCausalLM,
            MvpForConditionalGeneration,
            MvpForQuestionAnswering,
            MvpForSequenceClassification,
            MvpModel,
            MvpPreTrainedModel,
        )
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        from .models.nat import (
            NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            NatBackbone,
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            NatForImageClassification,
            NatModel,
            NatPreTrainedModel,
        )
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        from .models.nezha import (
            NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
            NezhaForMaskedLM,
            NezhaForMultipleChoice,
            NezhaForNextSentencePrediction,
            NezhaForPreTraining,
            NezhaForQuestionAnswering,
            NezhaForSequenceClassification,
            NezhaForTokenClassification,
            NezhaModel,
            NezhaPreTrainedModel,
        )
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        from .models.nllb_moe import (
            NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
            NllbMoeForConditionalGeneration,
            NllbMoeModel,
            NllbMoePreTrainedModel,
            NllbMoeSparseMLP,
            NllbMoeTop2Router,
        )
novice's avatar
novice committed
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        from .models.nystromformer import (
            NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            NystromformerForMaskedLM,
            NystromformerForMultipleChoice,
            NystromformerForQuestionAnswering,
            NystromformerForSequenceClassification,
            NystromformerForTokenClassification,
            NystromformerLayer,
            NystromformerModel,
            NystromformerPreTrainedModel,
        )
Jitesh Jain's avatar
Jitesh Jain committed
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        from .models.oneformer import (
            ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            OneFormerForUniversalSegmentation,
            OneFormerModel,
            OneFormerPreTrainedModel,
        )
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        from .models.open_llama import (
            OpenLlamaForCausalLM,
            OpenLlamaForSequenceClassification,
            OpenLlamaModel,
            OpenLlamaPreTrainedModel,
        )
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        from .models.openai import (
            OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OpenAIGPTDoubleHeadsModel,
            OpenAIGPTForSequenceClassification,
            OpenAIGPTLMHeadModel,
            OpenAIGPTModel,
            OpenAIGPTPreTrainedModel,
            load_tf_weights_in_openai_gpt,
        )
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        from .models.opt import (
            OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OPTForCausalLM,
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            OPTForQuestionAnswering,
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            OPTForSequenceClassification,
            OPTModel,
            OPTPreTrainedModel,
        )
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        from .models.owlvit import (
            OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OwlViTForObjectDetection,
            OwlViTModel,
            OwlViTPreTrainedModel,
            OwlViTTextModel,
            OwlViTVisionModel,
        )
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        from .models.pegasus import (
            PegasusForCausalLM,
            PegasusForConditionalGeneration,
            PegasusModel,
            PegasusPreTrainedModel,
        )
Jason Phang's avatar
Jason Phang committed
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        from .models.pegasus_x import (
            PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
            PegasusXForConditionalGeneration,
            PegasusXModel,
            PegasusXPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.perceiver import (
            PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PerceiverForImageClassificationConvProcessing,
            PerceiverForImageClassificationFourier,
            PerceiverForImageClassificationLearned,
            PerceiverForMaskedLM,
            PerceiverForMultimodalAutoencoding,
            PerceiverForOpticalFlow,
            PerceiverForSequenceClassification,
            PerceiverLayer,
            PerceiverModel,
            PerceiverPreTrainedModel,
        )
Younes Belkada's avatar
Younes Belkada committed
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        from .models.pix2struct import (
            PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
            Pix2StructForConditionalGeneration,
            Pix2StructPreTrainedModel,
            Pix2StructTextModel,
            Pix2StructVisionModel,
        )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
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        from .models.plbart import (
            PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
            PLBartForCausalLM,
            PLBartForConditionalGeneration,
            PLBartForSequenceClassification,
            PLBartModel,
            PLBartPreTrainedModel,
        )
Tanay Mehta's avatar
Tanay Mehta committed
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        from .models.poolformer import (
            POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PoolFormerForImageClassification,
            PoolFormerModel,
            PoolFormerPreTrainedModel,
        )
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        from .models.prophetnet import (
            PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            ProphetNetDecoder,
            ProphetNetEncoder,
            ProphetNetForCausalLM,
            ProphetNetForConditionalGeneration,
            ProphetNetModel,
            ProphetNetPreTrainedModel,
        )
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        from .models.qdqbert import (
            QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            QDQBertForMaskedLM,
            QDQBertForMultipleChoice,
            QDQBertForNextSentencePrediction,
            QDQBertForQuestionAnswering,
            QDQBertForSequenceClassification,
            QDQBertForTokenClassification,
            QDQBertLayer,
            QDQBertLMHeadModel,
            QDQBertModel,
            QDQBertPreTrainedModel,
            load_tf_weights_in_qdqbert,
        )
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        from .models.rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
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        from .models.realm import (
            REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RealmEmbedder,
            RealmForOpenQA,
            RealmKnowledgeAugEncoder,
            RealmPreTrainedModel,
            RealmReader,
            RealmRetriever,
            RealmScorer,
            load_tf_weights_in_realm,
        )
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        from .models.reformer import (
            REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ReformerAttention,
            ReformerForMaskedLM,
            ReformerForQuestionAnswering,
            ReformerForSequenceClassification,
            ReformerLayer,
            ReformerModel,
            ReformerModelWithLMHead,
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            ReformerPreTrainedModel,
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        )
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        from .models.regnet import (
            REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            RegNetForImageClassification,
            RegNetModel,
            RegNetPreTrainedModel,
        )
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        from .models.rembert import (
            REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            RemBertForCausalLM,
            RemBertForMaskedLM,
            RemBertForMultipleChoice,
            RemBertForQuestionAnswering,
            RemBertForSequenceClassification,
            RemBertForTokenClassification,
            RemBertLayer,
            RemBertModel,
            RemBertPreTrainedModel,
            load_tf_weights_in_rembert,
        )
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        from .models.resnet import (
            RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
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            ResNetBackbone,
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            ResNetForImageClassification,
            ResNetModel,
            ResNetPreTrainedModel,
        )
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        from .models.retribert import RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST, RetriBertModel, RetriBertPreTrainedModel
        from .models.roberta import (
            ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            RobertaForCausalLM,
            RobertaForMaskedLM,
            RobertaForMultipleChoice,
            RobertaForQuestionAnswering,
            RobertaForSequenceClassification,
            RobertaForTokenClassification,
            RobertaModel,
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            RobertaPreTrainedModel,
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        )
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        from .models.roberta_prelayernorm import (
            ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RobertaPreLayerNormForCausalLM,
            RobertaPreLayerNormForMaskedLM,
            RobertaPreLayerNormForMultipleChoice,
            RobertaPreLayerNormForQuestionAnswering,
            RobertaPreLayerNormForSequenceClassification,
            RobertaPreLayerNormForTokenClassification,
            RobertaPreLayerNormModel,
            RobertaPreLayerNormPreTrainedModel,
        )
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        from .models.roc_bert import (
            ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            RoCBertForCausalLM,
            RoCBertForMaskedLM,
            RoCBertForMultipleChoice,
            RoCBertForPreTraining,
            RoCBertForQuestionAnswering,
            RoCBertForSequenceClassification,
            RoCBertForTokenClassification,
            RoCBertLayer,
            RoCBertModel,
            RoCBertPreTrainedModel,
            load_tf_weights_in_roc_bert,
        )
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        from .models.roformer import (
            ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            RoFormerForCausalLM,
            RoFormerForMaskedLM,
            RoFormerForMultipleChoice,
            RoFormerForQuestionAnswering,
            RoFormerForSequenceClassification,
            RoFormerForTokenClassification,
            RoFormerLayer,
            RoFormerModel,
            RoFormerPreTrainedModel,
            load_tf_weights_in_roformer,
        )
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        from .models.rwkv import (
            RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
            RwkvForCausalLM,
            RwkvModel,
            RwkvPreTrainedModel,
        )
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        from .models.sam import (
            SAM_PRETRAINED_MODEL_ARCHIVE_LIST,
            SamModel,
            SamPreTrainedModel,
        )
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        from .models.segformer import (
            SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            SegformerDecodeHead,
            SegformerForImageClassification,
            SegformerForSemanticSegmentation,
            SegformerLayer,
            SegformerModel,
            SegformerPreTrainedModel,
        )
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        from .models.sew import (
            SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
            SEWForCTC,
            SEWForSequenceClassification,
            SEWModel,
            SEWPreTrainedModel,
        )
        from .models.sew_d import (
            SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
            SEWDForCTC,
            SEWDForSequenceClassification,
            SEWDModel,
            SEWDPreTrainedModel,
        )
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        from .models.speech_encoder_decoder import SpeechEncoderDecoderModel
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        from .models.speech_to_text import (
            SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            Speech2TextForConditionalGeneration,
            Speech2TextModel,
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            Speech2TextPreTrainedModel,
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        )
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        from .models.speech_to_text_2 import Speech2Text2ForCausalLM, Speech2Text2PreTrainedModel
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        from .models.speecht5 import (
            SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            SpeechT5ForSpeechToSpeech,
            SpeechT5ForSpeechToText,
            SpeechT5ForTextToSpeech,
            SpeechT5HifiGan,
            SpeechT5Model,
            SpeechT5PreTrainedModel,
        )
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        from .models.splinter import (
            SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
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            SplinterForPreTraining,
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            SplinterForQuestionAnswering,
            SplinterLayer,
            SplinterModel,
            SplinterPreTrainedModel,
        )
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        from .models.squeezebert import (
            SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            SqueezeBertForMaskedLM,
            SqueezeBertForMultipleChoice,
            SqueezeBertForQuestionAnswering,
            SqueezeBertForSequenceClassification,
            SqueezeBertForTokenClassification,
            SqueezeBertModel,
            SqueezeBertModule,
            SqueezeBertPreTrainedModel,
        )
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        from .models.swiftformer import (
            SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwiftFormerForImageClassification,
            SwiftFormerModel,
            SwiftFormerPreTrainedModel,
        )
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        from .models.swin import (
            SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
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NielsRogge committed
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            SwinBackbone,
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            SwinForImageClassification,
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            SwinForMaskedImageModeling,
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            SwinModel,
            SwinPreTrainedModel,
        )
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        from .models.swin2sr import (
            SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swin2SRForImageSuperResolution,
            Swin2SRModel,
            Swin2SRPreTrainedModel,
        )
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        from .models.swinv2 import (
            SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swinv2ForImageClassification,
            Swinv2ForMaskedImageModeling,
            Swinv2Model,
            Swinv2PreTrainedModel,
        )
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        from .models.switch_transformers import (
            SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwitchTransformersEncoderModel,
            SwitchTransformersForConditionalGeneration,
            SwitchTransformersModel,
            SwitchTransformersPreTrainedModel,
            SwitchTransformersSparseMLP,
            SwitchTransformersTop1Router,
        )
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        from .models.t5 import (
            T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            T5EncoderModel,
            T5ForConditionalGeneration,
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            T5ForQuestionAnswering,
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            T5Model,
            T5PreTrainedModel,
            load_tf_weights_in_t5,
        )
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        from .models.table_transformer import (
            TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TableTransformerForObjectDetection,
            TableTransformerModel,
            TableTransformerPreTrainedModel,
        )
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        from .models.tapas import (
            TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TapasForMaskedLM,
            TapasForQuestionAnswering,
            TapasForSequenceClassification,
            TapasModel,
            TapasPreTrainedModel,
            load_tf_weights_in_tapas,
        )
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        from .models.time_series_transformer import (
            TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TimeSeriesTransformerForPrediction,
            TimeSeriesTransformerModel,
            TimeSeriesTransformerPreTrainedModel,
        )
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        from .models.timesformer import (
            TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TimesformerForVideoClassification,
            TimesformerModel,
            TimesformerPreTrainedModel,
        )
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amyeroberts committed
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        from .models.timm_backbone import TimmBackbone
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        from .models.trajectory_transformer import (
            TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TrajectoryTransformerModel,
            TrajectoryTransformerPreTrainedModel,
        )
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        from .models.transfo_xl import (
            TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            AdaptiveEmbedding,
            TransfoXLForSequenceClassification,
            TransfoXLLMHeadModel,
            TransfoXLModel,
            TransfoXLPreTrainedModel,
            load_tf_weights_in_transfo_xl,
        )
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        from .models.trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel
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        from .models.tvlt import (
            TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TvltForAudioVisualClassification,
            TvltForPreTraining,
            TvltModel,
            TvltPreTrainedModel,
        )
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        from .models.umt5 import (
            UMT5EncoderModel,
            UMT5ForConditionalGeneration,
            UMT5ForQuestionAnswering,
            UMT5Model,
            UMT5PreTrainedModel,
        )
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        from .models.unispeech import (
            UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
            UniSpeechForCTC,
            UniSpeechForPreTraining,
            UniSpeechForSequenceClassification,
            UniSpeechModel,
            UniSpeechPreTrainedModel,
        )
        from .models.unispeech_sat import (
            UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            UniSpeechSatForAudioFrameClassification,
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            UniSpeechSatForCTC,
            UniSpeechSatForPreTraining,
            UniSpeechSatForSequenceClassification,
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            UniSpeechSatForXVector,
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            UniSpeechSatModel,
            UniSpeechSatPreTrainedModel,
        )
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        from .models.upernet import UperNetForSemanticSegmentation, UperNetPreTrainedModel
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        from .models.van import (
            VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
            VanForImageClassification,
            VanModel,
            VanPreTrainedModel,
        )
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        from .models.videomae import (
            VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            VideoMAEForPreTraining,
            VideoMAEForVideoClassification,
            VideoMAEModel,
            VideoMAEPreTrainedModel,
        )
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        from .models.vilt import (
            VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViltForImageAndTextRetrieval,
            ViltForImagesAndTextClassification,
            ViltForMaskedLM,
            ViltForQuestionAnswering,
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            ViltForTokenClassification,
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            ViltLayer,
            ViltModel,
            ViltPreTrainedModel,
        )
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        from .models.vision_encoder_decoder import VisionEncoderDecoderModel
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        from .models.vision_text_dual_encoder import VisionTextDualEncoderModel
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        from .models.visual_bert import (
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            VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            VisualBertForMultipleChoice,
            VisualBertForPreTraining,
            VisualBertForQuestionAnswering,
            VisualBertForRegionToPhraseAlignment,
            VisualBertForVisualReasoning,
            VisualBertLayer,
            VisualBertModel,
            VisualBertPreTrainedModel,
        )
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        from .models.vit import (
            VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTForImageClassification,
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            ViTForMaskedImageModeling,
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            ViTModel,
            ViTPreTrainedModel,
        )
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        from .models.vit_hybrid import (
            VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTHybridForImageClassification,
            ViTHybridModel,
            ViTHybridPreTrainedModel,
        )
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        from .models.vit_mae import (
            VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMAEForPreTraining,
            ViTMAELayer,
            ViTMAEModel,
            ViTMAEPreTrainedModel,
        )
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        from .models.vit_msn import (
            VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMSNForImageClassification,
            ViTMSNModel,
            ViTMSNPreTrainedModel,
        )
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        from .models.wav2vec2 import (
            WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
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            Wav2Vec2ForAudioFrameClassification,
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            Wav2Vec2ForCTC,
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            Wav2Vec2ForMaskedLM,
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            Wav2Vec2ForPreTraining,
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            Wav2Vec2ForSequenceClassification,
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            Wav2Vec2ForXVector,
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            Wav2Vec2Model,
            Wav2Vec2PreTrainedModel,
        )
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        from .models.wav2vec2_conformer import (
            WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            Wav2Vec2ConformerForAudioFrameClassification,
            Wav2Vec2ConformerForCTC,
            Wav2Vec2ConformerForPreTraining,
            Wav2Vec2ConformerForSequenceClassification,
            Wav2Vec2ConformerForXVector,
            Wav2Vec2ConformerModel,
            Wav2Vec2ConformerPreTrainedModel,
        )
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        from .models.wavlm import (
            WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
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            WavLMForAudioFrameClassification,
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            WavLMForCTC,
            WavLMForSequenceClassification,
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            WavLMForXVector,
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            WavLMModel,
            WavLMPreTrainedModel,
        )
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        from .models.whisper import (
            WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
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            WhisperForAudioClassification,
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            WhisperForConditionalGeneration,
            WhisperModel,
            WhisperPreTrainedModel,
        )
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        from .models.x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )
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        from .models.xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel
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        from .models.xlm import (
            XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMForMultipleChoice,
            XLMForQuestionAnswering,
            XLMForQuestionAnsweringSimple,
            XLMForSequenceClassification,
            XLMForTokenClassification,
            XLMModel,
            XLMPreTrainedModel,
            XLMWithLMHeadModel,
        )
        from .models.xlm_prophetnet import (
            XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMProphetNetDecoder,
            XLMProphetNetEncoder,
            XLMProphetNetForCausalLM,
            XLMProphetNetForConditionalGeneration,
            XLMProphetNetModel,
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            XLMProphetNetPreTrainedModel,
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        )
        from .models.xlm_roberta import (
            XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaForCausalLM,
            XLMRobertaForMaskedLM,
            XLMRobertaForMultipleChoice,
            XLMRobertaForQuestionAnswering,
            XLMRobertaForSequenceClassification,
            XLMRobertaForTokenClassification,
            XLMRobertaModel,
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            XLMRobertaPreTrainedModel,
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        )
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        from .models.xlm_roberta_xl import (
            XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaXLForCausalLM,
            XLMRobertaXLForMaskedLM,
            XLMRobertaXLForMultipleChoice,
            XLMRobertaXLForQuestionAnswering,
            XLMRobertaXLForSequenceClassification,
            XLMRobertaXLForTokenClassification,
            XLMRobertaXLModel,
            XLMRobertaXLPreTrainedModel,
        )
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        from .models.xlnet import (
            XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLNetForMultipleChoice,
            XLNetForQuestionAnswering,
            XLNetForQuestionAnsweringSimple,
            XLNetForSequenceClassification,
            XLNetForTokenClassification,
            XLNetLMHeadModel,
            XLNetModel,
            XLNetPreTrainedModel,
            load_tf_weights_in_xlnet,
        )
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        from .models.xmod import (
            XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
            XmodForCausalLM,
            XmodForMaskedLM,
            XmodForMultipleChoice,
            XmodForQuestionAnswering,
            XmodForSequenceClassification,
            XmodForTokenClassification,
            XmodModel,
            XmodPreTrainedModel,
        )
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        from .models.yolos import (
            YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
            YolosForObjectDetection,
            YolosModel,
            YolosPreTrainedModel,
        )
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        from .models.yoso import (
            YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
            YosoForMaskedLM,
            YosoForMultipleChoice,
            YosoForQuestionAnswering,
            YosoForSequenceClassification,
            YosoForTokenClassification,
            YosoLayer,
            YosoModel,
            YosoPreTrainedModel,
        )
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        # Optimization
        from .optimization import (
            Adafactor,
            AdamW,
            get_constant_schedule,
            get_constant_schedule_with_warmup,
            get_cosine_schedule_with_warmup,
            get_cosine_with_hard_restarts_schedule_with_warmup,
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            get_inverse_sqrt_schedule,
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            get_linear_schedule_with_warmup,
            get_polynomial_decay_schedule_with_warmup,
            get_scheduler,
        )
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        from .pytorch_utils import Conv1D, apply_chunking_to_forward, prune_layer
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        # Trainer
        from .trainer import Trainer
        from .trainer_pt_utils import torch_distributed_zero_first
        from .trainer_seq2seq import Seq2SeqTrainer

    # TensorFlow
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    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        # Import the same objects as dummies to get them in the namespace.
        # They will raise an import error if the user tries to instantiate / use them.
        from .utils.dummy_tf_objects import *
    else:
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        from .benchmark.benchmark_args_tf import TensorFlowBenchmarkArguments

        # Benchmarks
        from .benchmark.benchmark_tf import TensorFlowBenchmark
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        from .generation import (
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            TFForcedBOSTokenLogitsProcessor,
            TFForcedEOSTokenLogitsProcessor,
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            TFGenerationMixin,
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            TFLogitsProcessor,
            TFLogitsProcessorList,
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            TFLogitsWarper,
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            TFMinLengthLogitsProcessor,
            TFNoBadWordsLogitsProcessor,
            TFNoRepeatNGramLogitsProcessor,
            TFRepetitionPenaltyLogitsProcessor,
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            TFTemperatureLogitsWarper,
            TFTopKLogitsWarper,
            TFTopPLogitsWarper,
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            tf_top_k_top_p_filtering,
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        )
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        from .keras_callbacks import KerasMetricCallback, PushToHubCallback
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        from .modeling_tf_utils import TFPreTrainedModel, TFSequenceSummary, TFSharedEmbeddings, shape_list
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        # TensorFlow model imports
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        from .models.albert import (
            TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAlbertForMaskedLM,
            TFAlbertForMultipleChoice,
            TFAlbertForPreTraining,
            TFAlbertForQuestionAnswering,
            TFAlbertForSequenceClassification,
            TFAlbertForTokenClassification,
            TFAlbertMainLayer,
            TFAlbertModel,
            TFAlbertPreTrainedModel,
        )
        from .models.auto import (
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            TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
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            TF_MODEL_FOR_CAUSAL_LM_MAPPING,
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            TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
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            TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
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            TF_MODEL_FOR_MASK_GENERATION_MAPPING,
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            TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
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            TF_MODEL_FOR_MASKED_LM_MAPPING,
            TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
            TF_MODEL_FOR_PRETRAINING_MAPPING,
            TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING,
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            TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
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            TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
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            TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
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            TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
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            TF_MODEL_FOR_TEXT_ENCODING_MAPPING,
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            TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
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            TF_MODEL_FOR_VISION_2_SEQ_MAPPING,
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            TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
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            TF_MODEL_MAPPING,
            TF_MODEL_WITH_LM_HEAD_MAPPING,
            TFAutoModel,
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            TFAutoModelForAudioClassification,
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            TFAutoModelForCausalLM,
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            TFAutoModelForDocumentQuestionAnswering,
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            TFAutoModelForImageClassification,
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            TFAutoModelForMaskedImageModeling,
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            TFAutoModelForMaskedLM,
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            TFAutoModelForMaskGeneration,
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            TFAutoModelForMultipleChoice,
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            TFAutoModelForNextSentencePrediction,
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            TFAutoModelForPreTraining,
            TFAutoModelForQuestionAnswering,
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            TFAutoModelForSemanticSegmentation,
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            TFAutoModelForSeq2SeqLM,
            TFAutoModelForSequenceClassification,
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            TFAutoModelForSpeechSeq2Seq,
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            TFAutoModelForTableQuestionAnswering,
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            TFAutoModelForTextEncoding,
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            TFAutoModelForTokenClassification,
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            TFAutoModelForVision2Seq,
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            TFAutoModelForZeroShotImageClassification,
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            TFAutoModelWithLMHead,
        )
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        from .models.bart import (
            TFBartForConditionalGeneration,
            TFBartForSequenceClassification,
            TFBartModel,
            TFBartPretrainedModel,
        )
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        from .models.bert import (
            TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFBertEmbeddings,
            TFBertForMaskedLM,
            TFBertForMultipleChoice,
            TFBertForNextSentencePrediction,
            TFBertForPreTraining,
            TFBertForQuestionAnswering,
            TFBertForSequenceClassification,
            TFBertForTokenClassification,
            TFBertLMHeadModel,
            TFBertMainLayer,
            TFBertModel,
            TFBertPreTrainedModel,
        )
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        from .models.blenderbot import (
            TFBlenderbotForConditionalGeneration,
            TFBlenderbotModel,
            TFBlenderbotPreTrainedModel,
        )
        from .models.blenderbot_small import (
            TFBlenderbotSmallForConditionalGeneration,
            TFBlenderbotSmallModel,
            TFBlenderbotSmallPreTrainedModel,
        )
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        from .models.blip import (
            TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFBlipForConditionalGeneration,
            TFBlipForImageTextRetrieval,
            TFBlipForQuestionAnswering,
            TFBlipModel,
            TFBlipPreTrainedModel,
            TFBlipTextModel,
            TFBlipVisionModel,
        )
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        from .models.camembert import (
            TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            TFCamembertForCausalLM,
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            TFCamembertForMaskedLM,
            TFCamembertForMultipleChoice,
            TFCamembertForQuestionAnswering,
            TFCamembertForSequenceClassification,
            TFCamembertForTokenClassification,
            TFCamembertModel,
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            TFCamembertPreTrainedModel,
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        )
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        from .models.clip import (
            TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCLIPModel,
            TFCLIPPreTrainedModel,
            TFCLIPTextModel,
            TFCLIPVisionModel,
        )
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abhishek thakur committed
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        from .models.convbert import (
            TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFConvBertForMaskedLM,
            TFConvBertForMultipleChoice,
            TFConvBertForQuestionAnswering,
            TFConvBertForSequenceClassification,
            TFConvBertForTokenClassification,
            TFConvBertLayer,
            TFConvBertModel,
            TFConvBertPreTrainedModel,
        )
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Sayak Paul committed
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        from .models.convnext import TFConvNextForImageClassification, TFConvNextModel, TFConvNextPreTrainedModel
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        from .models.ctrl import (
            TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCTRLForSequenceClassification,
            TFCTRLLMHeadModel,
            TFCTRLModel,
            TFCTRLPreTrainedModel,
        )
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        from .models.cvt import (
            TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCvtForImageClassification,
            TFCvtModel,
            TFCvtPreTrainedModel,
        )
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        from .models.data2vec import (
            TFData2VecVisionForImageClassification,
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            TFData2VecVisionForSemanticSegmentation,
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            TFData2VecVisionModel,
            TFData2VecVisionPreTrainedModel,
        )
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        from .models.deberta import (
            TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaForMaskedLM,
            TFDebertaForQuestionAnswering,
            TFDebertaForSequenceClassification,
            TFDebertaForTokenClassification,
            TFDebertaModel,
            TFDebertaPreTrainedModel,
        )
Kamal Raj's avatar
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        from .models.deberta_v2 import (
            TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaV2ForMaskedLM,
            TFDebertaV2ForQuestionAnswering,
            TFDebertaV2ForSequenceClassification,
            TFDebertaV2ForTokenClassification,
            TFDebertaV2Model,
            TFDebertaV2PreTrainedModel,
        )
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        from .models.deit import (
            TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDeiTForImageClassification,
            TFDeiTForImageClassificationWithTeacher,
            TFDeiTForMaskedImageModeling,
            TFDeiTModel,
            TFDeiTPreTrainedModel,
        )
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        from .models.distilbert import (
            TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDistilBertForMaskedLM,
            TFDistilBertForMultipleChoice,
            TFDistilBertForQuestionAnswering,
            TFDistilBertForSequenceClassification,
            TFDistilBertForTokenClassification,
            TFDistilBertMainLayer,
            TFDistilBertModel,
            TFDistilBertPreTrainedModel,
        )
        from .models.dpr import (
            TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDPRContextEncoder,
            TFDPRPretrainedContextEncoder,
            TFDPRPretrainedQuestionEncoder,
            TFDPRPretrainedReader,
            TFDPRQuestionEncoder,
            TFDPRReader,
        )
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        from .models.efficientformer import (
            TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFEfficientFormerForImageClassification,
            TFEfficientFormerForImageClassificationWithTeacher,
            TFEfficientFormerModel,
            TFEfficientFormerPreTrainedModel,
        )
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        from .models.electra import (
            TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFElectraForMaskedLM,
            TFElectraForMultipleChoice,
            TFElectraForPreTraining,
            TFElectraForQuestionAnswering,
            TFElectraForSequenceClassification,
            TFElectraForTokenClassification,
            TFElectraModel,
            TFElectraPreTrainedModel,
        )
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        from .models.encoder_decoder import TFEncoderDecoderModel
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        from .models.esm import (
            ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFEsmForMaskedLM,
            TFEsmForSequenceClassification,
            TFEsmForTokenClassification,
            TFEsmModel,
            TFEsmPreTrainedModel,
        )
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        from .models.flaubert import (
            TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFlaubertForMultipleChoice,
            TFFlaubertForQuestionAnsweringSimple,
            TFFlaubertForSequenceClassification,
            TFFlaubertForTokenClassification,
            TFFlaubertModel,
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            TFFlaubertPreTrainedModel,
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            TFFlaubertWithLMHeadModel,
        )
        from .models.funnel import (
            TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFunnelBaseModel,
            TFFunnelForMaskedLM,
            TFFunnelForMultipleChoice,
            TFFunnelForPreTraining,
            TFFunnelForQuestionAnswering,
            TFFunnelForSequenceClassification,
            TFFunnelForTokenClassification,
            TFFunnelModel,
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            TFFunnelPreTrainedModel,
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        )
        from .models.gpt2 import (
            TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFGPT2DoubleHeadsModel,
            TFGPT2ForSequenceClassification,
            TFGPT2LMHeadModel,
            TFGPT2MainLayer,
            TFGPT2Model,
            TFGPT2PreTrainedModel,
        )
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        from .models.gptj import (
            TFGPTJForCausalLM,
            TFGPTJForQuestionAnswering,
            TFGPTJForSequenceClassification,
            TFGPTJModel,
            TFGPTJPreTrainedModel,
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        )
        from .models.groupvit import (
            TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFGroupViTModel,
            TFGroupViTPreTrainedModel,
            TFGroupViTTextModel,
            TFGroupViTVisionModel,
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        )
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        from .models.hubert import (
            TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFHubertForCTC,
            TFHubertModel,
            TFHubertPreTrainedModel,
        )
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        from .models.layoutlm import (
            TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMForMaskedLM,
            TFLayoutLMForQuestionAnswering,
            TFLayoutLMForSequenceClassification,
            TFLayoutLMForTokenClassification,
            TFLayoutLMMainLayer,
            TFLayoutLMModel,
            TFLayoutLMPreTrainedModel,
        )
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        from .models.layoutlmv3 import (
            TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMv3ForQuestionAnswering,
            TFLayoutLMv3ForSequenceClassification,
            TFLayoutLMv3ForTokenClassification,
            TFLayoutLMv3Model,
            TFLayoutLMv3PreTrainedModel,
        )
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        from .models.led import TFLEDForConditionalGeneration, TFLEDModel, TFLEDPreTrainedModel
        from .models.longformer import (
            TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLongformerForMaskedLM,
            TFLongformerForMultipleChoice,
            TFLongformerForQuestionAnswering,
            TFLongformerForSequenceClassification,
            TFLongformerForTokenClassification,
            TFLongformerModel,
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            TFLongformerPreTrainedModel,
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            TFLongformerSelfAttention,
        )
        from .models.lxmert import (
            TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLxmertForPreTraining,
            TFLxmertMainLayer,
            TFLxmertModel,
            TFLxmertPreTrainedModel,
            TFLxmertVisualFeatureEncoder,
        )
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        from .models.marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel
        from .models.mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel
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        from .models.mobilebert import (
            TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFMobileBertForMaskedLM,
            TFMobileBertForMultipleChoice,
            TFMobileBertForNextSentencePrediction,
            TFMobileBertForPreTraining,
            TFMobileBertForQuestionAnswering,
            TFMobileBertForSequenceClassification,
            TFMobileBertForTokenClassification,
            TFMobileBertMainLayer,
            TFMobileBertModel,
            TFMobileBertPreTrainedModel,
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        )
        from .models.mobilevit import (
            TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            TFMobileViTForImageClassification,
            TFMobileViTForSemanticSegmentation,
            TFMobileViTModel,
            TFMobileViTPreTrainedModel,
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        )
        from .models.mpnet import (
            TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFMPNetForMaskedLM,
            TFMPNetForMultipleChoice,
            TFMPNetForQuestionAnswering,
            TFMPNetForSequenceClassification,
            TFMPNetForTokenClassification,
            TFMPNetMainLayer,
            TFMPNetModel,
            TFMPNetPreTrainedModel,
        )
        from .models.mt5 import TFMT5EncoderModel, TFMT5ForConditionalGeneration, TFMT5Model
        from .models.openai import (
            TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFOpenAIGPTDoubleHeadsModel,
            TFOpenAIGPTForSequenceClassification,
            TFOpenAIGPTLMHeadModel,
            TFOpenAIGPTMainLayer,
            TFOpenAIGPTModel,
            TFOpenAIGPTPreTrainedModel,
        )
Arthur's avatar
Arthur committed
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        from .models.opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel
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        from .models.pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel
        from .models.rag import TFRagModel, TFRagPreTrainedModel, TFRagSequenceForGeneration, TFRagTokenForGeneration
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        from .models.regnet import (
            TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRegNetForImageClassification,
            TFRegNetModel,
            TFRegNetPreTrainedModel,
        )
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        from .models.rembert import (
            TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRemBertForCausalLM,
            TFRemBertForMaskedLM,
            TFRemBertForMultipleChoice,
            TFRemBertForQuestionAnswering,
            TFRemBertForSequenceClassification,
            TFRemBertForTokenClassification,
            TFRemBertLayer,
            TFRemBertModel,
            TFRemBertPreTrainedModel,
        )
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        from .models.resnet import (
            TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFResNetForImageClassification,
            TFResNetModel,
            TFResNetPreTrainedModel,
        )
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        from .models.roberta import (
            TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
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            TFRobertaForCausalLM,
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            TFRobertaForMaskedLM,
            TFRobertaForMultipleChoice,
            TFRobertaForQuestionAnswering,
            TFRobertaForSequenceClassification,
            TFRobertaForTokenClassification,
            TFRobertaMainLayer,
            TFRobertaModel,
            TFRobertaPreTrainedModel,
        )
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        from .models.roberta_prelayernorm import (
            TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRobertaPreLayerNormForCausalLM,
            TFRobertaPreLayerNormForMaskedLM,
            TFRobertaPreLayerNormForMultipleChoice,
            TFRobertaPreLayerNormForQuestionAnswering,
            TFRobertaPreLayerNormForSequenceClassification,
            TFRobertaPreLayerNormForTokenClassification,
            TFRobertaPreLayerNormMainLayer,
            TFRobertaPreLayerNormModel,
            TFRobertaPreLayerNormPreTrainedModel,
        )
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        from .models.roformer import (
            TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRoFormerForCausalLM,
            TFRoFormerForMaskedLM,
            TFRoFormerForMultipleChoice,
            TFRoFormerForQuestionAnswering,
            TFRoFormerForSequenceClassification,
            TFRoFormerForTokenClassification,
            TFRoFormerLayer,
            TFRoFormerModel,
            TFRoFormerPreTrainedModel,
        )
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        from .models.sam import (
            TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSamModel,
            TFSamPreTrainedModel,
        )
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        from .models.segformer import (
            TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSegformerDecodeHead,
            TFSegformerForImageClassification,
            TFSegformerForSemanticSegmentation,
            TFSegformerModel,
            TFSegformerPreTrainedModel,
        )
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        from .models.speech_to_text import (
            TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSpeech2TextForConditionalGeneration,
            TFSpeech2TextModel,
            TFSpeech2TextPreTrainedModel,
        )
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        from .models.swin import (
            TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSwinForImageClassification,
            TFSwinForMaskedImageModeling,
            TFSwinModel,
            TFSwinPreTrainedModel,
        )
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        from .models.t5 import (
            TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFT5EncoderModel,
            TFT5ForConditionalGeneration,
            TFT5Model,
            TFT5PreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
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        from .models.tapas import (
            TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFTapasForMaskedLM,
            TFTapasForQuestionAnswering,
            TFTapasForSequenceClassification,
            TFTapasModel,
            TFTapasPreTrainedModel,
        )
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        from .models.transfo_xl import (
            TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAdaptiveEmbedding,
            TFTransfoXLForSequenceClassification,
            TFTransfoXLLMHeadModel,
            TFTransfoXLMainLayer,
            TFTransfoXLModel,
            TFTransfoXLPreTrainedModel,
        )
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        from .models.vision_encoder_decoder import TFVisionEncoderDecoderModel
Matt's avatar
Matt committed
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        from .models.vision_text_dual_encoder import TFVisionTextDualEncoderModel
Yih-Dar's avatar
Yih-Dar committed
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        from .models.vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel
Sayak Paul's avatar
Sayak Paul committed
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        from .models.vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel
Will Rice's avatar
Will Rice committed
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        from .models.wav2vec2 import (
            TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWav2Vec2ForCTC,
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            TFWav2Vec2ForSequenceClassification,
Will Rice's avatar
Will Rice committed
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            TFWav2Vec2Model,
            TFWav2Vec2PreTrainedModel,
        )
amyeroberts's avatar
amyeroberts committed
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        from .models.whisper import (
            TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWhisperForConditionalGeneration,
            TFWhisperModel,
            TFWhisperPreTrainedModel,
        )
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        from .models.xglm import (
            TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXGLMForCausalLM,
            TFXGLMModel,
            TFXGLMPreTrainedModel,
        )
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        from .models.xlm import (
            TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXLMForMultipleChoice,
            TFXLMForQuestionAnsweringSimple,
            TFXLMForSequenceClassification,
            TFXLMForTokenClassification,
            TFXLMMainLayer,
            TFXLMModel,
            TFXLMPreTrainedModel,
            TFXLMWithLMHeadModel,
        )
        from .models.xlm_roberta import (
            TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
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            TFXLMRobertaForCausalLM,
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            TFXLMRobertaForMaskedLM,
            TFXLMRobertaForMultipleChoice,
            TFXLMRobertaForQuestionAnswering,
            TFXLMRobertaForSequenceClassification,
            TFXLMRobertaForTokenClassification,
            TFXLMRobertaModel,
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            TFXLMRobertaPreTrainedModel,
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        )
        from .models.xlnet import (
            TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXLNetForMultipleChoice,
            TFXLNetForQuestionAnsweringSimple,
            TFXLNetForSequenceClassification,
            TFXLNetForTokenClassification,
            TFXLNetLMHeadModel,
            TFXLNetMainLayer,
            TFXLNetModel,
            TFXLNetPreTrainedModel,
        )

        # Optimization
        from .optimization_tf import AdamWeightDecay, GradientAccumulator, WarmUp, create_optimizer

        # Trainer
        from .trainer_tf import TFTrainer

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    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
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        # Import the same objects as dummies to get them in the namespace.
        # They will raise an import error if the user tries to instantiate / use them.
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        from .utils.dummy_flax_objects import *
    else:
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        from .generation import (
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            FlaxForcedBOSTokenLogitsProcessor,
            FlaxForcedEOSTokenLogitsProcessor,
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            FlaxGenerationMixin,
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Patrick von Platen committed
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            FlaxLogitsProcessor,
            FlaxLogitsProcessorList,
            FlaxLogitsWarper,
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            FlaxMinLengthLogitsProcessor,
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Patrick von Platen committed
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            FlaxTemperatureLogitsWarper,
            FlaxTopKLogitsWarper,
            FlaxTopPLogitsWarper,
        )
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        from .modeling_flax_utils import FlaxPreTrainedModel
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        # Flax model imports
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        from .models.albert import (
            FlaxAlbertForMaskedLM,
            FlaxAlbertForMultipleChoice,
            FlaxAlbertForPreTraining,
            FlaxAlbertForQuestionAnswering,
            FlaxAlbertForSequenceClassification,
            FlaxAlbertForTokenClassification,
            FlaxAlbertModel,
            FlaxAlbertPreTrainedModel,
        )
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        from .models.auto import (
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            FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
Suraj Patil's avatar
Suraj Patil committed
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            FLAX_MODEL_FOR_CAUSAL_LM_MAPPING,
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            FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
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            FLAX_MODEL_FOR_MASKED_LM_MAPPING,
            FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
            FLAX_MODEL_FOR_PRETRAINING_MAPPING,
            FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING,
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            FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
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            FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
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            FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
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            FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
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            FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING,
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            FLAX_MODEL_MAPPING,
            FlaxAutoModel,
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Suraj Patil committed
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            FlaxAutoModelForCausalLM,
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            FlaxAutoModelForImageClassification,
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            FlaxAutoModelForMaskedLM,
            FlaxAutoModelForMultipleChoice,
            FlaxAutoModelForNextSentencePrediction,
            FlaxAutoModelForPreTraining,
            FlaxAutoModelForQuestionAnswering,
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            FlaxAutoModelForSeq2SeqLM,
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            FlaxAutoModelForSequenceClassification,
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            FlaxAutoModelForSpeechSeq2Seq,
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            FlaxAutoModelForTokenClassification,
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            FlaxAutoModelForVision2Seq,
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        )
Daniel Stancl's avatar
Daniel Stancl committed
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        from .models.bart import (
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            FlaxBartDecoderPreTrainedModel,
            FlaxBartForCausalLM,
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            FlaxBartForConditionalGeneration,
            FlaxBartForQuestionAnswering,
            FlaxBartForSequenceClassification,
            FlaxBartModel,
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            FlaxBartPreTrainedModel,
Daniel Stancl's avatar
Daniel Stancl committed
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        )
Kamal Raj's avatar
Kamal Raj committed
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        from .models.beit import (
            FlaxBeitForImageClassification,
            FlaxBeitForMaskedImageModeling,
            FlaxBeitModel,
            FlaxBeitPreTrainedModel,
        )
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        from .models.bert import (
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            FlaxBertForCausalLM,
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            FlaxBertForMaskedLM,
            FlaxBertForMultipleChoice,
            FlaxBertForNextSentencePrediction,
            FlaxBertForPreTraining,
            FlaxBertForQuestionAnswering,
            FlaxBertForSequenceClassification,
            FlaxBertForTokenClassification,
            FlaxBertModel,
            FlaxBertPreTrainedModel,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
7058
        from .models.big_bird import (
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            FlaxBigBirdForCausalLM,
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Vasudev Gupta committed
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            FlaxBigBirdForMaskedLM,
            FlaxBigBirdForMultipleChoice,
            FlaxBigBirdForPreTraining,
            FlaxBigBirdForQuestionAnswering,
            FlaxBigBirdForSequenceClassification,
            FlaxBigBirdForTokenClassification,
            FlaxBigBirdModel,
            FlaxBigBirdPreTrainedModel,
        )
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        from .models.blenderbot import (
            FlaxBlenderbotForConditionalGeneration,
            FlaxBlenderbotModel,
            FlaxBlenderbotPreTrainedModel,
        )
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        from .models.blenderbot_small import (
            FlaxBlenderbotSmallForConditionalGeneration,
            FlaxBlenderbotSmallModel,
            FlaxBlenderbotSmallPreTrainedModel,
        )
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        from .models.clip import (
            FlaxCLIPModel,
            FlaxCLIPPreTrainedModel,
            FlaxCLIPTextModel,
            FlaxCLIPTextPreTrainedModel,
            FlaxCLIPVisionModel,
            FlaxCLIPVisionPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
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        from .models.distilbert import (
            FlaxDistilBertForMaskedLM,
            FlaxDistilBertForMultipleChoice,
            FlaxDistilBertForQuestionAnswering,
            FlaxDistilBertForSequenceClassification,
            FlaxDistilBertForTokenClassification,
            FlaxDistilBertModel,
            FlaxDistilBertPreTrainedModel,
        )
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        from .models.electra import (
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            FlaxElectraForCausalLM,
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            FlaxElectraForMaskedLM,
            FlaxElectraForMultipleChoice,
            FlaxElectraForPreTraining,
            FlaxElectraForQuestionAnswering,
            FlaxElectraForSequenceClassification,
            FlaxElectraForTokenClassification,
            FlaxElectraModel,
            FlaxElectraPreTrainedModel,
        )
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        from .models.encoder_decoder import FlaxEncoderDecoderModel
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        from .models.gpt2 import FlaxGPT2LMHeadModel, FlaxGPT2Model, FlaxGPT2PreTrainedModel
Suraj Patil's avatar
Suraj Patil committed
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        from .models.gpt_neo import FlaxGPTNeoForCausalLM, FlaxGPTNeoModel, FlaxGPTNeoPreTrainedModel
Suraj Patil's avatar
Suraj Patil committed
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        from .models.gptj import FlaxGPTJForCausalLM, FlaxGPTJModel, FlaxGPTJPreTrainedModel
Daniel Stancl's avatar
Daniel Stancl committed
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        from .models.longt5 import FlaxLongT5ForConditionalGeneration, FlaxLongT5Model, FlaxLongT5PreTrainedModel
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        from .models.marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel
Daniel Stancl's avatar
Daniel Stancl committed
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        from .models.mbart import (
            FlaxMBartForConditionalGeneration,
            FlaxMBartForQuestionAnswering,
            FlaxMBartForSequenceClassification,
            FlaxMBartModel,
            FlaxMBartPreTrainedModel,
        )
Crystina's avatar
Crystina committed
7120
        from .models.mt5 import FlaxMT5EncoderModel, FlaxMT5ForConditionalGeneration, FlaxMT5Model
Arthur's avatar
Arthur committed
7121
        from .models.opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel
7122
        from .models.pegasus import FlaxPegasusForConditionalGeneration, FlaxPegasusModel, FlaxPegasusPreTrainedModel
Shubhamai's avatar
Shubhamai committed
7123
        from .models.regnet import FlaxRegNetForImageClassification, FlaxRegNetModel, FlaxRegNetPreTrainedModel
Shubhamai's avatar
Shubhamai committed
7124
        from .models.resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel
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        from .models.roberta import (
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            FlaxRobertaForCausalLM,
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            FlaxRobertaForMaskedLM,
            FlaxRobertaForMultipleChoice,
            FlaxRobertaForQuestionAnswering,
            FlaxRobertaForSequenceClassification,
            FlaxRobertaForTokenClassification,
            FlaxRobertaModel,
            FlaxRobertaPreTrainedModel,
        )
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        from .models.roberta_prelayernorm import (
            FlaxRobertaPreLayerNormForCausalLM,
            FlaxRobertaPreLayerNormForMaskedLM,
            FlaxRobertaPreLayerNormForMultipleChoice,
            FlaxRobertaPreLayerNormForQuestionAnswering,
            FlaxRobertaPreLayerNormForSequenceClassification,
            FlaxRobertaPreLayerNormForTokenClassification,
            FlaxRobertaPreLayerNormModel,
            FlaxRobertaPreLayerNormPreTrainedModel,
        )
Daniel Stancl's avatar
Daniel Stancl committed
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        from .models.roformer import (
            FlaxRoFormerForMaskedLM,
            FlaxRoFormerForMultipleChoice,
            FlaxRoFormerForQuestionAnswering,
            FlaxRoFormerForSequenceClassification,
            FlaxRoFormerForTokenClassification,
            FlaxRoFormerModel,
            FlaxRoFormerPreTrainedModel,
        )
7154
        from .models.speech_encoder_decoder import FlaxSpeechEncoderDecoderModel
Crystina's avatar
Crystina committed
7155
        from .models.t5 import FlaxT5EncoderModel, FlaxT5ForConditionalGeneration, FlaxT5Model, FlaxT5PreTrainedModel
7156
        from .models.vision_encoder_decoder import FlaxVisionEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
7157
        from .models.vision_text_dual_encoder import FlaxVisionTextDualEncoderModel
7158
        from .models.vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel
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        from .models.wav2vec2 import (
            FlaxWav2Vec2ForCTC,
            FlaxWav2Vec2ForPreTraining,
            FlaxWav2Vec2Model,
            FlaxWav2Vec2PreTrainedModel,
        )
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        from .models.whisper import (
            FlaxWhisperForAudioClassification,
            FlaxWhisperForConditionalGeneration,
            FlaxWhisperModel,
            FlaxWhisperPreTrainedModel,
        )
Suraj Patil's avatar
Suraj Patil committed
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        from .models.xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel
7172
        from .models.xlm_roberta import (
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            FLAX_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaxXLMRobertaForCausalLM,
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            FlaxXLMRobertaForMaskedLM,
            FlaxXLMRobertaForMultipleChoice,
            FlaxXLMRobertaForQuestionAnswering,
            FlaxXLMRobertaForSequenceClassification,
            FlaxXLMRobertaForTokenClassification,
            FlaxXLMRobertaModel,
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            FlaxXLMRobertaPreTrainedModel,
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        )
7183

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else:
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    import sys

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    sys.modules[__name__] = _LazyModule(
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        __name__,
        globals()["__file__"],
        _import_structure,
        module_spec=__spec__,
        extra_objects={"__version__": __version__},
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    )
7195

7196

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if not is_tf_available() and not is_torch_available() and not is_flax_available():
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    logger.warning(
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        "None of PyTorch, TensorFlow >= 2.0, or Flax have been found. "
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        "Models won't be available and only tokenizers, configuration "
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        "and file/data utilities can be used."
    )